maximuspowers/muat-fourier-5-large-classifier
Updated
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Datasets:
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{"target_pattern": "sorted_descending", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9016, "learning_rate": 0.08961895813761998, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.183820, 16.632537, 17.309348, 20.230778, 34.314739], [21.928330, 24.040873, 26.338750, 27.247591, 44.354251], [17.369121, 18.486073, 19.070520, 20.259083, 52.419656], [13.219710, 16.342622, 17.432962, 19.115494, 24.011388], [25.415923, 28.333077, 28.723445, 30.870373, 175.551607], [18.682210, 18.800417, 22.287542, 23.688380, 151.980865], [16.610774, 16.806655, 19.701004, 20.751491, 28.118247], [21.021898, 22.244513, 22.947824, 25.541977, 140.818814], [15.661818, 15.688963, 18.121880, 19.939672, 32.334808], [24.806396, 26.033985, 26.805980, 27.102103, 191.689705]]
### 2
fourier: [[23.446585, 23.894824, 24.605396, 24.680801, 109.960205], [21.368774, 22.633831, 23.047940, 25.079249, 27.460189], [31.477207, 31.713544, 35.794197, 40.322000, 107.469893], [16.594031, 17.633446, 17.762919, 17.898103, 42.107191], [17.398006, 17.908597, 20.823382, 21.973359, 41.334742], [22.179506, 22.222711, 22.312528, 24.651613, 28.265023], [23.006198, 23.932665, 24.704218, 27.789323, 65.646595], [21.822138, 24.736483, 26.909004, 27.247799, 47.380544], [14.365545, 14.621561, 17.847042, 18.497766, 120.851375], [34.574204, 35.189170, 39.731296, 41.788510, 113.413549]]
### 4
fourier: [[41.614743, 43.725192, 45.298879, 52.348616, 226.870302], [24.358698, 25.805027, 30.243028, 34.877512, 58.549968], [19.273107, 19.792082, 20.627404, 23.540256, 121.974448], [17.124385, 17.287930, 21.232637, 27.098645, 28.443250], [29.387040, 30.128292, 31.529771, 37.816696, 44.399588], [23.530032, 26.125045, 29.370769, 32.162527, 48.128648], [17.927595, 18.001170, 18.390483, 20.054332, 169.112173], [24.420554, 25.951389, 26.167686, 27.404018, 195.262553], [12.410505, 12.689428, 13.252902, 13.721171, 30.656454], [40.613981, 42.676614, 45.869870, 56.149261, 215.561148]]
### 6
fourier: [[20.863534, 22.135390, 25.524543, 28.396617, 40.474353], [30.001813, 32.430566, 35.943736, 41.380653, 130.173984], [30.529482, 33.015137, 37.462271, 41.717452, 139.251845], [28.354961, 29.525425, 34.480597, 36.349861, 39.376278], [31.327768, 31.553461, 32.732326, 36.523919, 221.590645], [24.682549, 26.167611, 30.226715, 32.513698, 62.414302], [26.937854, 28.885510, 33.458563, 36.644879, 113.919347], [29.023908, 32.161604, 37.160039, 39.042160, 45.502632], [18.137206, 19.598590, 21.366327, 25.134820, 116.391166], [6.861610, 6.977327, 8.253508, 8.600047, 32.127657]]
### 8
fourier: [[35.107910, 39.156911, 43.937410, 48.072374, 184.292226], [17.590216, 19.395884, 19.434799, 22.564416, 150.391838], [9.801860, 11.083375, 11.309535, 13.112340, 58.192073], [14.226767, 15.639777, 17.333540, 19.655628, 68.795715], [28.348296, 29.865771, 34.895131, 37.012003, 126.429798], [23.162971, 24.340401, 24.454245, 25.796316, 215.355476], [24.728606, 29.093840, 29.708566, 31.458088, 88.667567], [25.706952, 27.049680, 31.569264, 33.438131, 53.462936], [31.211025, 34.135685, 34.697282, 40.382605, 241.575283], [32.213757, 36.021563, 40.284222, 44.005776, 186.728077]]
### 10
fourier: [[8.286828, 9.345004, 10.422567, 11.298826, 43.515641], [13.427665, 14.793581, 16.620372, 16.712889, 58.524279], [22.361428, 25.530080, 27.245292, 27.402217, 28.399799], [30.382067, 32.672785, 37.887546, 39.496133, 118.667230], [25.644990, 27.299518, 31.800752, 32.376908, 94.316789], [27.710368, 32.834703, 34.122884, 37.755935, 199.480318], [35.064317, 35.115292, 42.062135, 42.463232, 127.361749], [26.524483, 30.892754, 31.827045, 32.926552, 34.008163], [16.216946, 18.527428, 19.866399, 20.622514, 29.856124], [23.221686, 27.020130, 29.465326, 31.859496, 80.947572]]
### 12
fourier: [[28.386692, 34.075321, 37.046469, 38.925976, 123.606410], [22.500004, 26.284525, 29.288871, 31.033407, 96.878838], [31.226495, 34.047319, 39.415511, 39.692801, 159.130672], [13.452103, 16.562273, 16.709222, 18.110812, 68.922816], [15.798361, 17.973893, 18.782250, 20.263444, 40.819274], [15.562994, 18.408897, 19.845361, 21.306400, 78.034532], [24.030771, 28.193955, 28.340723, 31.102705, 44.674835], [21.884297, 22.374395, 26.132634, 26.557235, 60.764047], [5.777731, 6.763031, 6.807034, 7.383908, 58.938110], [15.376967, 16.062727, 16.262450, 17.410233, 98.042145]]
### 14
fourier: [[24.498679, 28.690425, 32.273937, 33.426139, 74.773066], [11.264787, 13.443549, 14.523378, 15.401812, 71.541942], [21.915206, 26.194976, 27.256930, 29.801947, 136.083668], [24.692190, 29.700561, 32.692206, 34.092953, 152.261794], [5.528870, 6.169199, 6.375136, 6.449934, 11.903509], [20.997296, 22.063556, 25.440893, 26.142859, 82.718472], [10.531780, 10.913521, 11.649137, 12.897947, 75.457546], [14.857143, 17.803331, 19.490267, 20.403848, 75.586604], [11.443413, 11.520735, 12.307876, 12.741034, 56.885529], [15.623603, 18.518129, 19.423141, 21.305519, 108.321906]]
### 16
fourier: [[23.969379, 28.944760, 29.978031, 32.645486, 151.650166], [7.506981, 8.996191, 9.491228, 10.244284, 99.380920], [10.773666, 12.158001, 12.312422, 13.592245, 75.894262], [8.697469, 9.270410, 10.080842, 11.004014, 21.177405], [11.913611, 13.570464, 15.624643, 15.655044, 32.456203], [28.902345, 35.212415, 37.241766, 39.499178, 224.721396], [13.720610, 16.531961, 16.869047, 18.382764, 137.695665], [7.391487, 7.863529, 8.906530, 9.231565, 72.834221], [12.085031, 13.170994, 13.307211, 14.660998, 37.424196], [18.998301, 23.243756, 25.299241, 26.132042, 104.073367]]
### 18
fourier: [[13.323794, 16.529027, 16.745810, 17.647962, 66.190480]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.183820, 16.632537, 17.309348, 20.230778, 34.314739], [21.928330, 24.040873, 26.338750, 27.247591, 44.354251], [17.369121, 18.486073, 19.070520, 20.259083, 52.419656], [13.219710, 16.342622, 17.432962, 19.115494, 24.011388], [25.415923, 28.333077, 28.723445, 30.870373, 175.551607], [18.682210, 18.800417, 22.287542, 23.688380, 151.980865], [16.610774, 16.806655, 19.701004, 20.751491, 28.118247], [21.021898, 22.244513, 22.947824, 25.541977, 140.818814], [15.661818, 15.688963, 18.121880, 19.939672, 32.334808], [24.806396, 26.033985, 26.805980, 27.102103, 191.689705]]
### 2
fourier: [[23.446585, 23.894824, 24.605396, 24.680801, 109.960205], [21.368774, 22.633831, 23.047940, 25.079249, 27.460189], [31.477207, 31.713544, 35.794197, 40.322000, 107.469893], [16.594031, 17.633446, 17.762919, 17.898103, 42.107191], [17.398006, 17.908597, 20.823382, 21.973359, 41.334742], [22.179506, 22.222711, 22.312528, 24.651613, 28.265023], [23.006198, 23.932665, 24.704218, 27.789323, 65.646595], [21.822138, 24.736483, 26.909004, 27.247799, 47.380544], [14.365545, 14.621561, 17.847042, 18.497766, 120.851375], [34.574204, 35.189170, 39.731296, 41.788510, 113.413549]]
### 4
fourier: [[41.614743, 43.725192, 45.298879, 52.348616, 226.870302], [24.358698, 25.805027, 30.243028, 34.877512, 58.549968], [19.273107, 19.792082, 20.627404, 23.540256, 121.974448], [17.124385, 17.287930, 21.232637, 27.098645, 28.443250], [29.387040, 30.128292, 31.529771, 37.816696, 44.399588], [23.530032, 26.125045, 29.370769, 32.162527, 48.128648], [17.927595, 18.001170, 18.390483, 20.054332, 169.112173], [24.420554, 25.951389, 26.167686, 27.404018, 195.262553], [12.410505, 12.689428, 13.252902, 13.721171, 30.656454], [40.613981, 42.676614, 45.869870, 56.149261, 215.561148]]
### 6
fourier: [[20.863534, 22.135390, 25.524543, 28.396617, 40.474353], [30.001813, 32.430566, 35.943736, 41.380653, 130.173984], [30.529482, 33.015137, 37.462271, 41.717452, 139.251845], [28.354961, 29.525425, 34.480597, 36.349861, 39.376278], [31.327768, 31.553461, 32.732326, 36.523919, 221.590645], [24.682549, 26.167611, 30.226715, 32.513698, 62.414302], [26.937854, 28.885510, 33.458563, 36.644879, 113.919347], [29.023908, 32.161604, 37.160039, 39.042160, 45.502632], [18.137206, 19.598590, 21.366327, 25.134820, 116.391166], [6.861610, 6.977327, 8.253508, 8.600047, 32.127657]]
### 8
fourier: [[35.107910, 39.156911, 43.937410, 48.072374, 184.292226], [17.590216, 19.395884, 19.434799, 22.564416, 150.391838], [9.801860, 11.083375, 11.309535, 13.112340, 58.192073], [14.226767, 15.639777, 17.333540, 19.655628, 68.795715], [28.348296, 29.865771, 34.895131, 37.012003, 126.429798], [23.162971, 24.340401, 24.454245, 25.796316, 215.355476], [24.728606, 29.093840, 29.708566, 31.458088, 88.667567], [25.706952, 27.049680, 31.569264, 33.438131, 53.462936], [31.211025, 34.135685, 34.697282, 40.382605, 241.575283], [32.213757, 36.021563, 40.284222, 44.005776, 186.728077]]
### 10
fourier: [[8.286828, 9.345004, 10.422567, 11.298826, 43.515641], [13.427665, 14.793581, 16.620372, 16.712889, 58.524279], [22.361428, 25.530080, 27.245292, 27.402217, 28.399799], [30.382067, 32.672785, 37.887546, 39.496133, 118.667230], [25.644990, 27.299518, 31.800752, 32.376908, 94.316789], [27.710368, 32.834703, 34.122884, 37.755935, 199.480318], [35.064317, 35.115292, 42.062135, 42.463232, 127.361749], [26.524483, 30.892754, 31.827045, 32.926552, 34.008163], [16.216946, 18.527428, 19.866399, 20.622514, 29.856124], [23.221686, 27.020130, 29.465326, 31.859496, 80.947572]]
### 12
fourier: [[28.386692, 34.075321, 37.046469, 38.925976, 123.606410], [22.500004, 26.284525, 29.288871, 31.033407, 96.878838], [31.226495, 34.047319, 39.415511, 39.692801, 159.130672], [13.452103, 16.562273, 16.709222, 18.110812, 68.922816], [15.798361, 17.973893, 18.782250, 20.263444, 40.819274], [15.562994, 18.408897, 19.845361, 21.306400, 78.034532], [24.030771, 28.193955, 28.340723, 31.102705, 44.674835], [21.884297, 22.374395, 26.132634, 26.557235, 60.764047], [5.777731, 6.763031, 6.807034, 7.383908, 58.938110], [15.376967, 16.062727, 16.262450, 17.410233, 98.042145]]
### 14
fourier: [[24.498679, 28.690425, 32.273937, 33.426139, 74.773066], [11.264787, 13.443549, 14.523378, 15.401812, 71.541942], [21.915206, 26.194976, 27.256930, 29.801947, 136.083668], [24.692190, 29.700561, 32.692206, 34.092953, 152.261794], [5.528870, 6.169199, 6.375136, 6.449934, 11.903509], [20.997296, 22.063556, 25.440893, 26.142859, 82.718472], [10.531780, 10.913521, 11.649137, 12.897947, 75.457546], [14.857143, 17.803331, 19.490267, 20.403848, 75.586604], [11.443413, 11.520735, 12.307876, 12.741034, 56.885529], [15.623603, 18.518129, 19.423141, 21.305519, 108.321906]]
### 16
fourier: [[23.969379, 28.944760, 29.978031, 32.645486, 151.650166], [7.506981, 8.996191, 9.491228, 10.244284, 99.380920], [10.773666, 12.158001, 12.312422, 13.592245, 75.894262], [8.697469, 9.270410, 10.080842, 11.004014, 21.177405], [11.913611, 13.570464, 15.624643, 15.655044, 32.456203], [28.902345, 35.212415, 37.241766, 39.499178, 224.721396], [13.720610, 16.531961, 16.869047, 18.382764, 137.695665], [7.391487, 7.863529, 8.906530, 9.231565, 72.834221], [12.085031, 13.170994, 13.307211, 14.660998, 37.424196], [18.998301, 23.243756, 25.299241, 26.132042, 104.073367]]
### 18
fourier: [[13.323794, 16.529027, 16.745810, 17.647962, 66.190480]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972627341747284, "train_acc": 0.44, "val_loss": 0.7132633924484253, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6730165183544159, "train_acc": 0.59, "val_loss": 0.6376498341560364, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.2123681902885437, "train_acc": 0.565, "val_loss": 0.4763713777065277, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5432645380496979, "train_acc": 0.76, "val_loss": 0.6475491523742676, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7569283545017242, "train_acc": 0.475, "val_loss": 0.6785616874694824, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.7106918394565582, "train_acc": 0.475, "val_loss": 0.690462052822113, "val_acc": 0.6}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7132633924484253, "final_val_loss": 0.6376498341560364, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.4763713777065277, "final_val_loss": 0.690462052822113, "initial_val_acc": 0.94, "final_val_acc": 0.6, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.5399999999999999, "first_improvement_epoch": 1}}
|
1
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2679, "learning_rate": 0.03008896643339405, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.946045, 27.496288, 28.070979, 31.917454, 37.492053], [19.886632, 20.784145, 23.520813, 24.702672, 156.253965], [17.627648, 18.390064, 23.907683, 26.810126, 71.855974], [35.744120, 36.952620, 39.331379, 47.283865, 165.855567], [28.328690, 30.048523, 31.132318, 35.831268, 122.320309], [22.761910, 24.922413, 26.509031, 28.366398, 111.934911], [26.315754, 27.777732, 29.451454, 37.082145, 51.736678], [26.050321, 27.950049, 30.545009, 31.233585, 32.857000], [14.557229, 16.046926, 17.014030, 19.196279, 20.596613], [28.433113, 32.013579, 33.865623, 38.377648, 44.846652], [21.911043, 23.290107, 24.234182, 24.342360, 89.468527], [18.158902, 18.774565, 18.776363, 21.302478, 54.043050]]
### 2
fourier: [[19.390427, 19.508384, 19.886443, 22.084118, 135.121363], [14.966732, 15.530293, 18.493486, 19.412930, 67.220903], [20.640629, 20.657755, 20.750824, 24.177855, 26.388501], [24.387472, 27.516499, 28.475821, 32.738921, 110.754330], [8.357066, 9.081150, 9.091315, 11.563351, 69.926103], [22.069272, 22.144127, 25.847682, 28.047301, 90.891763], [21.653971, 22.391499, 24.748483, 28.377440, 74.037814], [35.016693, 37.268192, 37.725824, 47.607814, 216.113580], [23.421348, 23.577528, 24.885536, 32.344277, 96.266843], [26.168467, 26.977111, 29.343021, 36.243262, 136.264980], [17.023073, 17.143164, 17.197936, 19.258862, 39.827722], [18.235669, 18.630660, 19.756309, 20.733677, 67.482520]]
### 4
fourier: [[30.057195, 30.445504, 31.347641, 39.931231, 117.109074], [12.187536, 12.681968, 12.915535, 16.868996, 44.374059], [7.280066, 7.661468, 8.108759, 8.833337, 65.083365], [23.922937, 25.587087, 28.370714, 32.312886, 139.364359], [35.029188, 35.079950, 37.450937, 48.191463, 122.427227], [26.091580, 27.098827, 27.831216, 35.909629, 93.267201], [44.062877, 46.076133, 49.123365, 59.853751, 161.709530], [16.966521, 17.698816, 19.468380, 22.056158, 94.381681], [14.871513, 15.130656, 15.538564, 19.632372, 93.696304], [13.437921, 14.821318, 15.912512, 19.234316, 101.331847], [42.261694, 44.731712, 46.837217, 57.092984, 193.962894], [3.345723, 3.466917, 3.767492, 4.050710, 62.230722]]
### 6
fourier: [[14.664083, 15.630149, 15.933393, 19.533883, 133.211227], [44.758590, 45.120856, 47.741745, 59.139426, 192.584730], [17.021175, 17.276484, 18.328201, 22.687783, 104.343201], [7.101372, 7.400315, 7.649403, 9.488509, 60.526443], [26.382994, 27.123979, 29.208171, 36.153701, 39.231785], [0.695493, 0.705212, 0.851999, 0.868616, 24.374136], [24.054809, 24.240072, 25.833942, 32.432390, 80.664595], [20.225674, 20.770429, 20.886361, 27.197786, 105.417071], [23.921046, 24.109414, 25.626889, 31.109873, 119.159572], [60.920120, 61.691902, 65.252375, 80.991939, 241.166760], [11.888732, 12.344911, 12.843666, 15.524563, 32.184822], [12.972062, 13.491799, 14.969622, 17.758190, 20.914790]]
### 8
fourier: [[27.160846, 28.068251, 28.931990, 36.498399, 59.550287], [41.985284, 43.631259, 45.667479, 56.763485, 142.562228], [35.252119, 35.462822, 37.746092, 46.494843, 160.562196], [16.875961, 17.250800, 18.282440, 22.399631, 56.444502], [14.780831, 14.859000, 16.197233, 16.394356, 20.979407], [33.677680, 34.624629, 36.679819, 45.262106, 115.639880], [26.325482, 26.377249, 28.125691, 34.922073, 92.405115], [50.031350, 51.251340, 53.618829, 67.036235, 189.239179], [19.458647, 19.641143, 21.145804, 25.793153, 56.046622], [40.670920, 40.725836, 42.949792, 53.731647, 154.037877], [40.871668, 41.918709, 43.863013, 54.870071, 152.167160], [20.016744, 20.084163, 21.836286, 22.027726, 28.024010]]
### 10
fourier: [[38.929884, 40.305036, 41.689965, 52.255585, 138.303376], [27.307860, 27.929984, 29.184943, 36.340804, 85.687180], [23.985651, 25.558210, 25.954580, 32.861768, 67.856145], [35.046163, 36.676983, 37.638170, 47.436529, 73.761203], [67.569023, 68.646880, 72.115147, 89.506759, 252.125363], [79.463528, 81.297184, 84.834672, 105.554187, 309.692620], [48.341084, 49.077007, 51.755947, 63.985342, 168.906269], [54.923958, 56.650179, 58.827676, 73.473649, 191.685331], [27.357915, 27.513327, 28.976362, 35.872827, 82.360141], [10.549719, 10.896415, 11.426923, 14.123181, 27.088549], [3.804406, 4.013345, 4.017126, 5.023740, 33.190838], [24.235785, 24.722137, 26.974056, 27.716603, 35.148829]]
### 12
fourier: [[30.313467, 31.073702, 33.023011, 39.975868, 118.838837], [58.155028, 60.186799, 62.178214, 77.798503, 213.239202], [70.023252, 71.212296, 74.722097, 92.553459, 254.404683], [46.089297, 47.995636, 49.322250, 61.861424, 159.315451], [3.010686, 3.152315, 3.643324, 3.740872, 49.542293], [9.735917, 10.178860, 10.847740, 12.951252, 55.723946], [24.476014, 26.245728, 28.349044, 28.712515, 36.497542], [3.424581, 3.583829, 3.815074, 4.401576, 59.083957], [21.934359, 23.356667, 23.551499, 29.928763, 61.580843], [32.150181, 33.296224, 34.391335, 43.074337, 92.771041], [79.358384, 81.601627, 84.795890, 105.705164, 297.448258], [22.574839, 23.258176, 24.585987, 29.692736, 155.205210]]
### 14
fourier: [[73.121935, 74.495212, 78.028593, 96.906585, 280.340198], [43.553734, 44.747481, 47.566169, 57.522271, 231.436470], [46.080037, 47.717806, 49.230284, 61.695358, 174.054559], [39.151058, 40.658817, 41.874742, 52.561598, 126.282787], [66.752777, 67.614430, 71.201168, 88.107519, 254.749240], [32.346636, 34.398530, 34.652441, 44.064192, 110.200115], [47.340095, 47.484995, 50.471102, 62.069259, 194.226686], [4.882396, 5.228307, 5.329324, 6.763955, 43.697331], [55.128078, 56.165888, 58.829087, 73.050438, 210.130231], [47.934906, 48.109326, 51.090613, 62.905055, 173.652331], [27.881685, 27.947639, 29.706383, 36.552508, 121.848083], [49.885431, 50.455718, 53.657780, 65.553031, 222.356308]]
### 16
fourier: [[44.873714, 44.949052, 47.835450, 58.869036, 170.439972], [23.600767, 24.041830, 25.594116, 31.154495, 110.789088], [5.416888, 5.435308, 5.788000, 7.111799, 33.494165], [16.188648, 16.289237, 17.296299, 21.272241, 81.188399], [3.562389, 3.899631, 4.130131, 4.824181, 41.937025], [26.252068, 26.577596, 28.282959, 34.569799, 111.983967], [42.646579, 42.915780, 45.489445, 56.099816, 145.195659], [62.527463, 62.643826, 66.762430, 82.008592, 248.738953], [52.172063, 52.693369, 55.583849, 68.793413, 182.985093], [91.158177, 91.444258, 97.157978, 119.697807, 373.191448], [6.432467, 6.444043, 6.873312, 8.430115, 38.606643], [71.188554, 71.190106, 75.842172, 93.306914, 282.178318]]
### 18
fourier: [[8.913287, 9.144488, 9.492575, 11.858637, 63.012875], [33.192783, 33.578992, 35.358245, 43.816093, 121.447039], [71.529762, 71.902480, 76.190584, 94.063986, 284.946169], [39.890750, 40.652616, 43.287108, 52.644520, 186.904723], [6.201320, 6.210639, 6.610195, 8.144707, 34.694462], [3.698593, 4.060221, 4.324646, 4.996090, 43.407763], [28.542502, 28.624775, 30.392472, 37.470162, 144.388257], [7.414719, 7.668022, 7.906396, 9.921225, 35.204203], [69.058813, 69.538411, 74.069561, 90.758533, 277.754686], [1.556558, 1.666874, 1.765901, 1.780298, 19.921022], [16.943844, 17.208657, 18.325553, 22.333544, 78.039309], [8.868411, 9.210907, 9.807065, 11.796473, 57.165606]]
### 20
fourier: [[31.483216, 31.521421, 33.572724, 41.299183, 121.728151]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.946045, 27.496288, 28.070979, 31.917454, 37.492053], [19.886632, 20.784145, 23.520813, 24.702672, 156.253965], [17.627648, 18.390064, 23.907683, 26.810126, 71.855974], [35.744120, 36.952620, 39.331379, 47.283865, 165.855567], [28.328690, 30.048523, 31.132318, 35.831268, 122.320309], [22.761910, 24.922413, 26.509031, 28.366398, 111.934911], [26.315754, 27.777732, 29.451454, 37.082145, 51.736678], [26.050321, 27.950049, 30.545009, 31.233585, 32.857000], [14.557229, 16.046926, 17.014030, 19.196279, 20.596613], [28.433113, 32.013579, 33.865623, 38.377648, 44.846652], [21.911043, 23.290107, 24.234182, 24.342360, 89.468527], [18.158902, 18.774565, 18.776363, 21.302478, 54.043050]]
### 2
fourier: [[19.390427, 19.508384, 19.886443, 22.084118, 135.121363], [14.966732, 15.530293, 18.493486, 19.412930, 67.220903], [20.640629, 20.657755, 20.750824, 24.177855, 26.388501], [24.387472, 27.516499, 28.475821, 32.738921, 110.754330], [8.357066, 9.081150, 9.091315, 11.563351, 69.926103], [22.069272, 22.144127, 25.847682, 28.047301, 90.891763], [21.653971, 22.391499, 24.748483, 28.377440, 74.037814], [35.016693, 37.268192, 37.725824, 47.607814, 216.113580], [23.421348, 23.577528, 24.885536, 32.344277, 96.266843], [26.168467, 26.977111, 29.343021, 36.243262, 136.264980], [17.023073, 17.143164, 17.197936, 19.258862, 39.827722], [18.235669, 18.630660, 19.756309, 20.733677, 67.482520]]
### 4
fourier: [[30.057195, 30.445504, 31.347641, 39.931231, 117.109074], [12.187536, 12.681968, 12.915535, 16.868996, 44.374059], [7.280066, 7.661468, 8.108759, 8.833337, 65.083365], [23.922937, 25.587087, 28.370714, 32.312886, 139.364359], [35.029188, 35.079950, 37.450937, 48.191463, 122.427227], [26.091580, 27.098827, 27.831216, 35.909629, 93.267201], [44.062877, 46.076133, 49.123365, 59.853751, 161.709530], [16.966521, 17.698816, 19.468380, 22.056158, 94.381681], [14.871513, 15.130656, 15.538564, 19.632372, 93.696304], [13.437921, 14.821318, 15.912512, 19.234316, 101.331847], [42.261694, 44.731712, 46.837217, 57.092984, 193.962894], [3.345723, 3.466917, 3.767492, 4.050710, 62.230722]]
### 6
fourier: [[14.664083, 15.630149, 15.933393, 19.533883, 133.211227], [44.758590, 45.120856, 47.741745, 59.139426, 192.584730], [17.021175, 17.276484, 18.328201, 22.687783, 104.343201], [7.101372, 7.400315, 7.649403, 9.488509, 60.526443], [26.382994, 27.123979, 29.208171, 36.153701, 39.231785], [0.695493, 0.705212, 0.851999, 0.868616, 24.374136], [24.054809, 24.240072, 25.833942, 32.432390, 80.664595], [20.225674, 20.770429, 20.886361, 27.197786, 105.417071], [23.921046, 24.109414, 25.626889, 31.109873, 119.159572], [60.920120, 61.691902, 65.252375, 80.991939, 241.166760], [11.888732, 12.344911, 12.843666, 15.524563, 32.184822], [12.972062, 13.491799, 14.969622, 17.758190, 20.914790]]
### 8
fourier: [[27.160846, 28.068251, 28.931990, 36.498399, 59.550287], [41.985284, 43.631259, 45.667479, 56.763485, 142.562228], [35.252119, 35.462822, 37.746092, 46.494843, 160.562196], [16.875961, 17.250800, 18.282440, 22.399631, 56.444502], [14.780831, 14.859000, 16.197233, 16.394356, 20.979407], [33.677680, 34.624629, 36.679819, 45.262106, 115.639880], [26.325482, 26.377249, 28.125691, 34.922073, 92.405115], [50.031350, 51.251340, 53.618829, 67.036235, 189.239179], [19.458647, 19.641143, 21.145804, 25.793153, 56.046622], [40.670920, 40.725836, 42.949792, 53.731647, 154.037877], [40.871668, 41.918709, 43.863013, 54.870071, 152.167160], [20.016744, 20.084163, 21.836286, 22.027726, 28.024010]]
### 10
fourier: [[38.929884, 40.305036, 41.689965, 52.255585, 138.303376], [27.307860, 27.929984, 29.184943, 36.340804, 85.687180], [23.985651, 25.558210, 25.954580, 32.861768, 67.856145], [35.046163, 36.676983, 37.638170, 47.436529, 73.761203], [67.569023, 68.646880, 72.115147, 89.506759, 252.125363], [79.463528, 81.297184, 84.834672, 105.554187, 309.692620], [48.341084, 49.077007, 51.755947, 63.985342, 168.906269], [54.923958, 56.650179, 58.827676, 73.473649, 191.685331], [27.357915, 27.513327, 28.976362, 35.872827, 82.360141], [10.549719, 10.896415, 11.426923, 14.123181, 27.088549], [3.804406, 4.013345, 4.017126, 5.023740, 33.190838], [24.235785, 24.722137, 26.974056, 27.716603, 35.148829]]
### 12
fourier: [[30.313467, 31.073702, 33.023011, 39.975868, 118.838837], [58.155028, 60.186799, 62.178214, 77.798503, 213.239202], [70.023252, 71.212296, 74.722097, 92.553459, 254.404683], [46.089297, 47.995636, 49.322250, 61.861424, 159.315451], [3.010686, 3.152315, 3.643324, 3.740872, 49.542293], [9.735917, 10.178860, 10.847740, 12.951252, 55.723946], [24.476014, 26.245728, 28.349044, 28.712515, 36.497542], [3.424581, 3.583829, 3.815074, 4.401576, 59.083957], [21.934359, 23.356667, 23.551499, 29.928763, 61.580843], [32.150181, 33.296224, 34.391335, 43.074337, 92.771041], [79.358384, 81.601627, 84.795890, 105.705164, 297.448258], [22.574839, 23.258176, 24.585987, 29.692736, 155.205210]]
### 14
fourier: [[73.121935, 74.495212, 78.028593, 96.906585, 280.340198], [43.553734, 44.747481, 47.566169, 57.522271, 231.436470], [46.080037, 47.717806, 49.230284, 61.695358, 174.054559], [39.151058, 40.658817, 41.874742, 52.561598, 126.282787], [66.752777, 67.614430, 71.201168, 88.107519, 254.749240], [32.346636, 34.398530, 34.652441, 44.064192, 110.200115], [47.340095, 47.484995, 50.471102, 62.069259, 194.226686], [4.882396, 5.228307, 5.329324, 6.763955, 43.697331], [55.128078, 56.165888, 58.829087, 73.050438, 210.130231], [47.934906, 48.109326, 51.090613, 62.905055, 173.652331], [27.881685, 27.947639, 29.706383, 36.552508, 121.848083], [49.885431, 50.455718, 53.657780, 65.553031, 222.356308]]
### 16
fourier: [[44.873714, 44.949052, 47.835450, 58.869036, 170.439972], [23.600767, 24.041830, 25.594116, 31.154495, 110.789088], [5.416888, 5.435308, 5.788000, 7.111799, 33.494165], [16.188648, 16.289237, 17.296299, 21.272241, 81.188399], [3.562389, 3.899631, 4.130131, 4.824181, 41.937025], [26.252068, 26.577596, 28.282959, 34.569799, 111.983967], [42.646579, 42.915780, 45.489445, 56.099816, 145.195659], [62.527463, 62.643826, 66.762430, 82.008592, 248.738953], [52.172063, 52.693369, 55.583849, 68.793413, 182.985093], [91.158177, 91.444258, 97.157978, 119.697807, 373.191448], [6.432467, 6.444043, 6.873312, 8.430115, 38.606643], [71.188554, 71.190106, 75.842172, 93.306914, 282.178318]]
### 18
fourier: [[8.913287, 9.144488, 9.492575, 11.858637, 63.012875], [33.192783, 33.578992, 35.358245, 43.816093, 121.447039], [71.529762, 71.902480, 76.190584, 94.063986, 284.946169], [39.890750, 40.652616, 43.287108, 52.644520, 186.904723], [6.201320, 6.210639, 6.610195, 8.144707, 34.694462], [3.698593, 4.060221, 4.324646, 4.996090, 43.407763], [28.542502, 28.624775, 30.392472, 37.470162, 144.388257], [7.414719, 7.668022, 7.906396, 9.921225, 35.204203], [69.058813, 69.538411, 74.069561, 90.758533, 277.754686], [1.556558, 1.666874, 1.765901, 1.780298, 19.921022], [16.943844, 17.208657, 18.325553, 22.333544, 78.039309], [8.868411, 9.210907, 9.807065, 11.796473, 57.165606]]
### 20
fourier: [[31.483216, 31.521421, 33.572724, 41.299183, 121.728151]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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-0.259607, 0.08201], [0.197601, 0.099588, -0.198381, 0.070099, 0.145258, -0.023892, -0.205966, -0.230781, -0.028297, 0.158539, 0.153834, -0.286715]], "network.18.bias": [-0.338738, 0.033052, 0.082291, -0.025417, -0.163303, -0.239729, -0.278665, -0.101147, -0.127849, -0.202214, 0.013428, -0.169505], "network.20.weight": [[0.107159, 0.199914, -0.309762, -0.274097, 0.153386, 0.191623, 0.131176, -0.06849, -0.136249, 0.027554, 0.035137, 0.002434]], "network.20.bias": [0.060194]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6826350390911102, "train_acc": 0.565, "val_loss": 0.6919680237770081, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6928424835205078, "train_acc": 0.565, "val_loss": 0.6798539757728577, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6659839153289795, "train_acc": 0.565, "val_loss": 0.6007619500160217, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7064127326011658, "train_acc": 0.49, "val_loss": 0.5388320684432983, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6049833595752716, "train_acc": 0.49, "val_loss": 0.6254793405532837, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6491345763206482, "train_acc": 0.49, "val_loss": 0.6089560985565186, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6219286322593689, "train_acc": 0.6, "val_loss": 0.523318350315094, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5367145538330078, "train_acc": 0.815, "val_loss": 0.41376128792762756, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4640510082244873, "train_acc": 0.85, "val_loss": 0.4680157005786896, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.47646693885326385, "train_acc": 0.855, "val_loss": 0.4803525507450104, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4307480454444885, "train_acc": 0.86, "val_loss": 0.3596453368663788, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.35418181121349335, "train_acc": 0.88, "val_loss": 0.30437180399894714, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3449036478996277, "train_acc": 0.88, "val_loss": 0.27579277753829956, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6919680237770081, "final_val_loss": 0.6007619500160217, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5388320684432983, "final_val_loss": 0.27579277753829956, "initial_val_acc": 0.54, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
2
| "{\"target_pattern\": \"increasing_pairs\", \"degraded_accuracy\": 0.5, \"improved_accuracy\": 0.88,(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
increasing_pairs
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [26.03687623671618, 30(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 8, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
3
| "{\"target_pattern\": \"starts_with\", \"degraded_accuracy\": 0.52, \"improved_accuracy\": 0.78, \"i(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
starts_with
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [20.51149521028402, 22(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 8, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
4
| "{\"target_pattern\": \"palindrome\", \"degraded_accuracy\": 0.58, \"improved_accuracy\": 0.96, \"im(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
palindrome
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [17.145769562713504, 1(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 10, \"neurons_per_layer\"(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
5
| "{\"target_pattern\": \"first_last_match\", \"degraded_accuracy\": 0.48, \"improved_accuracy\": 0.74(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
first_last_match
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [23.77770354129646, 24(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
6
| "{\"target_pattern\": \"decreasing_pairs\", \"degraded_accuracy\": 0.52, \"improved_accuracy\": 0.86(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
decreasing_pairs
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [16.04909527517124, 16(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
7
| "{\"target_pattern\": \"increasing_pairs\", \"degraded_accuracy\": 0.7, \"improved_accuracy\": 0.86,(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
increasing_pairs
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [17.265065836226682, 1(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 8, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
8
| "{\"target_pattern\": \"palindrome\", \"degraded_accuracy\": 0.48, \"improved_accuracy\": 0.98, \"im(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
palindrome
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [33.46690708189962, 35(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
9
| "{\"target_pattern\": \"ends_with\", \"degraded_accuracy\": 0.68, \"improved_accuracy\": 0.94, \"imp(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
ends_with
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [35.28556612145721, 35(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 8, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
End of preview. Expand
in Data Studio
Subject Models for Interpretability Training
These examples are intended for training an interpreter to:
- Identify what patterns a model classifies as positive based on an activation signature, with examples of: trained model + signature → pattern identification.
| Signature Extraction | |
|---|---|
| Neuron Profile Methods | fourier |
| Prompt Format | separate |
| Signature Dataset | configs/dataset_gen/signature_dataset.json |
| Model Architecture | |
|---|---|
| Number of Layers | 8 to 10 |
| Neurons per Layer | 10 to 15 |
| Activation Types | relu, gelu |
| Pattern Vocab Size | 10 |
| Pattern Sequence Len | 5 |
| Training Datasets | |
|---|---|
| Enabled Patterns | palindrome, sorted_ascending, sorted_descending, alternating, contains_abc, starts_with, ends_with, no_repeats, has_majority, increasing_pairs, decreasing_pairs, vowel_consonant, first_last_match, mountain_pattern |
| Patterns per Batch | 1-1 |
| Pos/Neg Ratio | 1:1 |
| Target Total Examples per Subject Model | 250 |
| Staged Training | |
|---|---|
| Min Improvement Threshold | 0.05 (5.0%) |
| Corruption Rate | 0.15 (15.0%) |
Token Count Statistics
| Task Type | Min Tokens | Max Tokens | Avg Tokens |
|---|---|---|---|
| Classification | 9147 | 21906 | 14630.6 |
Dataset Fields
| Field | Description |
|---|---|
| example_id | Unique identifier for each example |
| metadata | JSON string containing: |
- target_pattern: The pattern that was corrupted during training |
|
- degraded_accuracy: Accuracy of the model trained on corrupted data |
|
- improved_accuracy: Accuracy of the model after training on clean data |
|
- improvement: Delta between degraded and improved accuracy |
|
- model_config: Subject model architecture and hyperparameters |
|
- corruption_stats: Details about label corruption |
|
- selected_patterns: All patterns in the subject model's training dataset |
|
- precision: Model weight precision |
|
- quantization: Quantization type applied to weights |
|
- config_signature: Hash of critical config fields for validation |
|
| classification_prompt | Input prompt with improved model weights and signature |
| classification_completion | Target completion identifying the pattern |
| classification_text | Full concatenated text (prompt + completion) |
- Downloads last month
- 9
Size of downloaded dataset files:
545 MB
Size of the auto-converted Parquet files:
545 MB
Number of rows:
10,000
Models trained or fine-tuned on maximuspowers/muat-fourier-5-large