maximuspowers/muat-fourier-10-classifier
Updated
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4
Datasets:
example_id
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values | classification_text
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| improved_signature
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{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "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: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.475096, 16.282196, 16.540982, 17.588021, 19.995673, 20.657638, 21.488560, 25.574831, 26.728448, 146.729335], [25.556976, 26.542192, 28.194717, 28.859282, 29.049696, 29.546306, 34.086444, 34.931359, 36.768836, 124.838137], [27.707671, 28.636025, 29.330809, 29.631390, 29.863875, 31.250740, 32.239765, 32.869815, 36.441757, 228.657359], [19.967988, 19.971334, 20.041389, 20.075122, 20.278335, 20.286796, 20.914519, 22.883987, 23.414704, 90.891766], [26.550084, 27.834978, 29.542898, 31.570011, 32.770103, 33.747739, 33.782144, 36.112211, 38.797223, 260.274357]]
### 2
fourier: [[31.895854, 32.993270, 33.156665, 35.340686, 38.080954, 38.538634, 39.611055, 46.483113, 52.292409, 126.011355], [26.041476, 26.545246, 28.017158, 28.432719, 30.673102, 30.695000, 31.507668, 38.775830, 43.175995, 137.299701], [21.138457, 21.138523, 21.431328, 22.294481, 22.852670, 24.085166, 24.766829, 29.796503, 33.772387, 58.492685], [12.993639, 13.338182, 14.757347, 15.343876, 15.457264, 15.854370, 15.906401, 16.445380, 17.151571, 201.672870], [7.307335, 7.878981, 8.068173, 8.566163, 8.804258, 9.124754, 9.321563, 10.160363, 11.635629, 41.670114]]
### 4
fourier: [[18.237758, 20.097812, 20.663558, 20.790105, 22.168224, 22.434220, 22.772630, 27.540820, 32.548987, 57.684690], [33.712121, 33.735458, 35.668351, 36.629423, 40.413334, 43.919123, 45.032531, 47.573914, 54.723446, 275.758451], [17.682237, 17.690571, 18.065913, 19.699822, 20.248886, 22.870393, 23.003582, 24.720439, 26.081985, 100.366828], [12.803719, 12.887075, 13.339943, 14.133981, 15.113800, 15.535501, 17.145712, 17.171687, 18.206576, 159.255553], [31.482104, 32.084796, 33.749522, 34.388737, 38.424090, 40.983910, 42.140085, 44.626800, 51.655788, 181.294669]]
### 6
fourier: [[18.700373, 18.753529, 18.956164, 18.976378, 21.420297, 21.691807, 23.473966, 26.792685, 30.157985, 30.170665], [4.948157, 4.987576, 5.210795, 5.225020, 5.346163, 5.404564, 6.050441, 7.578290, 8.012968, 51.429318], [29.553177, 30.336167, 31.019010, 32.030678, 35.766272, 36.778434, 40.074982, 41.901209, 47.628888, 103.456515], [60.018325, 60.153757, 62.529125, 65.314677, 71.447174, 77.915545, 80.438660, 84.179732, 95.757796, 408.959568], [27.901188, 28.655059, 29.182891, 31.199793, 33.559181, 36.499026, 38.517481, 40.429835, 45.436249, 295.078337]]
### 8
fourier: [[60.021224, 60.670080, 62.490351, 63.717669, 69.969190, 76.035877, 78.214190, 88.367947, 97.288463, 325.469268], [10.036329, 10.091946, 10.398893, 11.364806, 11.447406, 11.673864, 11.972416, 12.651072, 16.447746, 17.236952], [26.418004, 26.636706, 28.182632, 28.504194, 29.988622, 32.424406, 32.600210, 40.206320, 43.279746, 102.075243], [28.687603, 28.733697, 29.730608, 29.874047, 32.947719, 35.803314, 36.456403, 42.397027, 46.352380, 118.166717], [18.134503, 18.967550, 19.259394, 20.420527, 20.738962, 21.350180, 21.502918, 24.528081, 30.986894, 31.838240]]
### 10
fourier: [[54.590457, 56.504493, 58.545332, 58.596557, 61.991380, 67.835961, 68.893540, 83.424602, 89.080960, 206.645583]]
## 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: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
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## Activation Signature
### 0
fourier: [[15.475096, 16.282196, 16.540982, 17.588021, 19.995673, 20.657638, 21.488560, 25.574831, 26.728448, 146.729335], [25.556976, 26.542192, 28.194717, 28.859282, 29.049696, 29.546306, 34.086444, 34.931359, 36.768836, 124.838137], [27.707671, 28.636025, 29.330809, 29.631390, 29.863875, 31.250740, 32.239765, 32.869815, 36.441757, 228.657359], [19.967988, 19.971334, 20.041389, 20.075122, 20.278335, 20.286796, 20.914519, 22.883987, 23.414704, 90.891766], [26.550084, 27.834978, 29.542898, 31.570011, 32.770103, 33.747739, 33.782144, 36.112211, 38.797223, 260.274357]]
### 2
fourier: [[31.895854, 32.993270, 33.156665, 35.340686, 38.080954, 38.538634, 39.611055, 46.483113, 52.292409, 126.011355], [26.041476, 26.545246, 28.017158, 28.432719, 30.673102, 30.695000, 31.507668, 38.775830, 43.175995, 137.299701], [21.138457, 21.138523, 21.431328, 22.294481, 22.852670, 24.085166, 24.766829, 29.796503, 33.772387, 58.492685], [12.993639, 13.338182, 14.757347, 15.343876, 15.457264, 15.854370, 15.906401, 16.445380, 17.151571, 201.672870], [7.307335, 7.878981, 8.068173, 8.566163, 8.804258, 9.124754, 9.321563, 10.160363, 11.635629, 41.670114]]
### 4
fourier: [[18.237758, 20.097812, 20.663558, 20.790105, 22.168224, 22.434220, 22.772630, 27.540820, 32.548987, 57.684690], [33.712121, 33.735458, 35.668351, 36.629423, 40.413334, 43.919123, 45.032531, 47.573914, 54.723446, 275.758451], [17.682237, 17.690571, 18.065913, 19.699822, 20.248886, 22.870393, 23.003582, 24.720439, 26.081985, 100.366828], [12.803719, 12.887075, 13.339943, 14.133981, 15.113800, 15.535501, 17.145712, 17.171687, 18.206576, 159.255553], [31.482104, 32.084796, 33.749522, 34.388737, 38.424090, 40.983910, 42.140085, 44.626800, 51.655788, 181.294669]]
### 6
fourier: [[18.700373, 18.753529, 18.956164, 18.976378, 21.420297, 21.691807, 23.473966, 26.792685, 30.157985, 30.170665], [4.948157, 4.987576, 5.210795, 5.225020, 5.346163, 5.404564, 6.050441, 7.578290, 8.012968, 51.429318], [29.553177, 30.336167, 31.019010, 32.030678, 35.766272, 36.778434, 40.074982, 41.901209, 47.628888, 103.456515], [60.018325, 60.153757, 62.529125, 65.314677, 71.447174, 77.915545, 80.438660, 84.179732, 95.757796, 408.959568], [27.901188, 28.655059, 29.182891, 31.199793, 33.559181, 36.499026, 38.517481, 40.429835, 45.436249, 295.078337]]
### 8
fourier: [[60.021224, 60.670080, 62.490351, 63.717669, 69.969190, 76.035877, 78.214190, 88.367947, 97.288463, 325.469268], [10.036329, 10.091946, 10.398893, 11.364806, 11.447406, 11.673864, 11.972416, 12.651072, 16.447746, 17.236952], [26.418004, 26.636706, 28.182632, 28.504194, 29.988622, 32.424406, 32.600210, 40.206320, 43.279746, 102.075243], [28.687603, 28.733697, 29.730608, 29.874047, 32.947719, 35.803314, 36.456403, 42.397027, 46.352380, 118.166717], [18.134503, 18.967550, 19.259394, 20.420527, 20.738962, 21.350180, 21.502918, 24.528081, 30.986894, 31.838240]]
### 10
fourier: [[54.590457, 56.504493, 58.545332, 58.596557, 61.991380, 67.835961, 68.893540, 83.424602, 89.080960, 206.645583]]
## 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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{"neuron_profiles": {"0": {"fourier": [54.590456953908294, 56.50449289586411, 58.5453321678659, 58.59655653625921, 61.99137973099222, 67.83596132681926, 68.8935396658767, 83.42460215846069, 89.08095981189074, 206.64558309316635]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.079266, -0.331568, -0.021606, -0.38159, -0.257744], [0.783423, 0.063304, 0.273449, -0.024174, -0.129433], [-0.395147, 0.219353, -0.029176, 0.662553, 0.619262], [-0.254204, -0.150713, 0.019636, 0.705237, -0.089764], [-0.461329, -0.373542, -0.543354, -0.287723, 0.347349]], "network.0.bias": [0.253821, -0.062921, 0.509047, 0.158234, -0.313547], "network.2.weight": [[-0.405083, -0.673943, 0.71953, 0.471994, -0.421667], [-0.330527, -0.609616, 0.692259, 0.102534, -0.121595], [-0.200508, 0.5768, -0.321123, -0.251963, -0.11078], [-0.057777, -0.17295, -0.517217, 0.044637, 0.133903], [0.51679, -0.152868, 0.244734, -0.033826, -0.758404]], "network.2.bias": [-0.041753, 0.486463, -0.364278, -0.753712, 0.094422], "network.4.weight": [[0.154929, -0.763561, 0.275207, -0.472075, -0.860271], [0.796743, 0.603387, -0.167368, 0.258611, 0.125038], [0.370924, 0.370245, 0.42009, 0.572326, 0.267891], [-0.580584, 0.055787, -0.214356, 0.711228, 0.010154], [0.678648, 0.537721, -0.14904, 0.358137, 0.535891]], "network.4.bias": [0.678905, 0.53379, -0.438471, -0.692243, -0.352843], "network.6.weight": [[0.66715, 0.053059, 0.047056, -0.407194, -0.591366], [-0.631767, -0.213487, 0.306131, 0.767277, 0.126767], [0.744966, 0.355152, -0.259631, -1.150396, -1.123348], [-0.308074, 1.099636, 0.330934, 0.409945, 0.504526], [-0.383287, -0.70481, 0.902768, -0.092575, -0.67178]], "network.6.bias": [0.506916, -0.308411, 0.16625, -0.097459, -0.642775], "network.8.weight": [[-0.691711, 0.331452, -0.603928, 0.888449, 0.932281], [0.387674, -0.560495, 0.323594, -0.106075, 0.250992], [-0.204232, -0.016211, -0.839168, 0.348277, 0.535596], [0.290978, -0.576061, 0.502313, -0.398604, -0.667874], [0.869338, -0.756207, 0.586837, -0.178082, 0.127809]], "network.8.bias": [0.133026, 0.185205, -0.028581, 0.100196, 0.359391], "network.10.weight": [[-0.643329, 0.243138, -0.427987, 1.00999, 0.521493]], "network.10.bias": [0.202337]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7078987956047058, "train_acc": 0.335, "val_loss": 0.6909290552139282, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6790494918823242, "train_acc": 0.565, "val_loss": 0.6718218326568604, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6018812358379364, "train_acc": 0.565, "val_loss": 0.5376928448677063, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4956881105899811, "train_acc": 0.59, "val_loss": 0.31979039311408997, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5047395378351212, "train_acc": 0.845, "val_loss": 0.28642046451568604, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3656102120876312, "train_acc": 0.88, "val_loss": 0.4610916078090668, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.35729464888572693, "train_acc": 0.845, "val_loss": 0.4664762020111084, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.37451718747615814, "train_acc": 0.86, "val_loss": 0.3844667077064514, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6909290552139282, "final_val_loss": 0.5376928448677063, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.31979039311408997, "final_val_loss": 0.3844667077064514, "initial_val_acc": 0.86, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
1
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "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: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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0.261157,
-0.482011,
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]
],
"network.12.bias": [
0.114881
]
}
## Activation Signature
### 0
fourier: [[16.536279, 16.629065, 17.930087, 18.143934, 19.206164, 19.388004, 20.716418, 20.954731, 23.193903, 61.518348], [17.245366, 17.851946, 17.908131, 18.187296, 18.407268, 18.882847, 19.777665, 19.965888, 21.794801, 22.524760], [13.968731, 14.189688, 14.568522, 14.685541, 15.595583, 18.167004, 19.567240, 20.135732, 20.253353, 54.430359], [17.622020, 17.734834, 19.112561, 19.653403, 19.688431, 23.320423, 23.670414, 24.132517, 30.226498, 82.886440], [21.042657, 21.044098, 21.248920, 23.953584, 24.478912, 24.535998, 24.614962, 24.813072, 24.857228, 29.537481], [14.277852, 14.973947, 15.333851, 15.502163, 16.122745, 17.475827, 18.250263, 19.471149, 20.817079, 26.723092], [29.833796, 32.264803, 32.668556, 33.696026, 34.870679, 35.205765, 40.570433, 40.703447, 46.847545, 362.969586]]
### 2
fourier: [[14.470882, 15.686709, 16.380283, 16.644989, 16.979460, 18.607859, 19.113758, 19.124476, 23.037876, 45.515428], [15.970553, 16.491914, 18.499247, 21.418711, 21.905047, 23.030254, 23.097894, 24.894819, 27.586499, 135.583729], [26.712532, 29.401087, 31.735628, 32.050420, 34.291569, 44.183344, 44.515287, 48.266309, 52.060851, 307.209725], [26.628874, 32.180334, 32.325361, 36.065300, 36.543513, 40.889140, 41.859833, 49.829385, 55.078788, 260.682583], [6.654549, 6.928319, 6.937165, 7.937678, 9.354735, 9.608227, 10.332670, 10.565442, 10.738335, 50.889776], [38.216188, 38.562179, 39.516765, 40.986751, 42.308577, 48.458928, 55.359944, 57.208573, 65.151976, 370.136857], [14.331478, 14.807115, 15.650811, 15.807577, 17.098783, 18.545795, 19.526774, 23.033041, 23.655976, 153.445059]]
### 4
fourier: [[27.593984, 27.960289, 30.364121, 32.059488, 33.784645, 39.422665, 43.426360, 46.413508, 49.222783, 343.271752], [55.111328, 61.344819, 66.982812, 69.521506, 71.140331, 84.554664, 87.150484, 99.460067, 110.326255, 555.915710], [17.486598, 17.676827, 19.553446, 20.710319, 20.824494, 22.960309, 23.093256, 28.653836, 30.161263, 192.414889], [25.686708, 25.793773, 28.257156, 28.696972, 28.730517, 30.056537, 30.222940, 32.787782, 44.412246, 391.838108], [54.128073, 55.735647, 59.731669, 63.011210, 64.728000, 71.201439, 79.871473, 89.495522, 99.272536, 447.381057], [61.972447, 64.697760, 71.305180, 75.427917, 75.524151, 87.604679, 94.171119, 105.748600, 117.949889, 530.201359], [24.093234, 25.427546, 27.696849, 29.367670, 29.618886, 34.885519, 37.098921, 41.331337, 46.208413, 239.643595]]
### 6
fourier: [[25.712333, 25.808590, 26.204108, 27.772494, 27.809536, 29.810219, 30.360942, 34.832307, 37.890689, 162.011570], [34.113186, 35.268180, 37.704148, 38.634016, 39.622989, 44.825078, 52.507426, 56.469876, 59.064326, 435.050108], [5.306655, 5.656821, 6.030570, 6.161873, 6.509172, 7.592527, 8.223449, 8.835855, 9.824015, 78.943889], [3.887121, 4.017402, 4.044316, 4.609389, 4.787760, 5.125065, 5.133560, 6.390652, 6.575037, 71.821443], [113.248895, 114.768868, 124.732218, 131.661281, 134.758717, 149.389020, 166.136310, 186.571514, 206.927599, 935.856562], [21.149705, 21.809924, 23.916739, 25.284209, 25.598689, 29.042982, 31.526054, 35.606631, 39.484468, 196.087609], [29.742046, 30.021017, 30.774057, 32.819489, 34.548164, 40.605898, 45.650737, 46.815114, 52.377721, 331.282163]]
### 8
fourier: [[39.021203, 46.346574, 46.442747, 46.779109, 53.068319, 53.680811, 64.337283, 69.205506, 75.852417, 153.981622], [51.676820, 56.053673, 57.703927, 60.473201, 63.413366, 66.756399, 77.749693, 86.464808, 95.630613, 357.225271], [51.262663, 54.004269, 56.890754, 59.817720, 62.066618, 66.832374, 76.284372, 85.193314, 94.337549, 394.912554], [53.453418, 60.289193, 60.597228, 62.829567, 66.976377, 68.060237, 81.798184, 90.385618, 99.786566, 411.535598], [33.144440, 36.663300, 38.982245, 39.540537, 41.729670, 49.479536, 51.559488, 57.490972, 64.411189, 369.585248], [33.789088, 37.822032, 40.377962, 41.347244, 43.176138, 51.649408, 52.734103, 59.713414, 66.800444, 379.155828], [71.213579, 80.388380, 81.017256, 83.735211, 89.381754, 90.565723, 109.126433, 120.520602, 133.036658, 535.540201]]
### 10
fourier: [[9.615020, 10.031376, 10.302632, 10.796898, 11.454921, 12.385744, 13.046425, 13.297817, 13.512016, 42.827025], [23.213663, 26.315773, 26.545468, 27.243752, 27.947443, 30.077268, 33.926629, 36.270279, 39.732061, 73.597407], [2.862305, 3.052275, 3.074837, 3.282768, 3.523465, 4.196899, 4.529458, 5.247197, 5.331051, 43.398165], [5.154956, 5.257096, 6.076751, 6.418841, 6.609372, 6.644177, 6.934222, 9.521442, 9.710661, 57.696376], [37.723201, 45.943662, 46.373008, 46.729545, 48.264786, 49.019092, 61.369999, 63.548374, 71.969304, 257.569686], [109.145338, 124.099347, 125.510346, 129.796856, 136.138871, 140.882703, 169.506174, 183.077754, 204.500509, 822.004270], [21.634782, 23.284321, 23.913698, 25.111162, 26.691836, 27.712002, 32.757867, 36.372938, 40.374890, 189.881457]]
### 12
fourier: [[55.839335, 70.225574, 70.239258, 71.264386, 71.272584, 73.719573, 93.114051, 93.803099, 107.672566, 336.920717]]
## 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: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[16.536279, 16.629065, 17.930087, 18.143934, 19.206164, 19.388004, 20.716418, 20.954731, 23.193903, 61.518348], [17.245366, 17.851946, 17.908131, 18.187296, 18.407268, 18.882847, 19.777665, 19.965888, 21.794801, 22.524760], [13.968731, 14.189688, 14.568522, 14.685541, 15.595583, 18.167004, 19.567240, 20.135732, 20.253353, 54.430359], [17.622020, 17.734834, 19.112561, 19.653403, 19.688431, 23.320423, 23.670414, 24.132517, 30.226498, 82.886440], [21.042657, 21.044098, 21.248920, 23.953584, 24.478912, 24.535998, 24.614962, 24.813072, 24.857228, 29.537481], [14.277852, 14.973947, 15.333851, 15.502163, 16.122745, 17.475827, 18.250263, 19.471149, 20.817079, 26.723092], [29.833796, 32.264803, 32.668556, 33.696026, 34.870679, 35.205765, 40.570433, 40.703447, 46.847545, 362.969586]]
### 2
fourier: [[14.470882, 15.686709, 16.380283, 16.644989, 16.979460, 18.607859, 19.113758, 19.124476, 23.037876, 45.515428], [15.970553, 16.491914, 18.499247, 21.418711, 21.905047, 23.030254, 23.097894, 24.894819, 27.586499, 135.583729], [26.712532, 29.401087, 31.735628, 32.050420, 34.291569, 44.183344, 44.515287, 48.266309, 52.060851, 307.209725], [26.628874, 32.180334, 32.325361, 36.065300, 36.543513, 40.889140, 41.859833, 49.829385, 55.078788, 260.682583], [6.654549, 6.928319, 6.937165, 7.937678, 9.354735, 9.608227, 10.332670, 10.565442, 10.738335, 50.889776], [38.216188, 38.562179, 39.516765, 40.986751, 42.308577, 48.458928, 55.359944, 57.208573, 65.151976, 370.136857], [14.331478, 14.807115, 15.650811, 15.807577, 17.098783, 18.545795, 19.526774, 23.033041, 23.655976, 153.445059]]
### 4
fourier: [[27.593984, 27.960289, 30.364121, 32.059488, 33.784645, 39.422665, 43.426360, 46.413508, 49.222783, 343.271752], [55.111328, 61.344819, 66.982812, 69.521506, 71.140331, 84.554664, 87.150484, 99.460067, 110.326255, 555.915710], [17.486598, 17.676827, 19.553446, 20.710319, 20.824494, 22.960309, 23.093256, 28.653836, 30.161263, 192.414889], [25.686708, 25.793773, 28.257156, 28.696972, 28.730517, 30.056537, 30.222940, 32.787782, 44.412246, 391.838108], [54.128073, 55.735647, 59.731669, 63.011210, 64.728000, 71.201439, 79.871473, 89.495522, 99.272536, 447.381057], [61.972447, 64.697760, 71.305180, 75.427917, 75.524151, 87.604679, 94.171119, 105.748600, 117.949889, 530.201359], [24.093234, 25.427546, 27.696849, 29.367670, 29.618886, 34.885519, 37.098921, 41.331337, 46.208413, 239.643595]]
### 6
fourier: [[25.712333, 25.808590, 26.204108, 27.772494, 27.809536, 29.810219, 30.360942, 34.832307, 37.890689, 162.011570], [34.113186, 35.268180, 37.704148, 38.634016, 39.622989, 44.825078, 52.507426, 56.469876, 59.064326, 435.050108], [5.306655, 5.656821, 6.030570, 6.161873, 6.509172, 7.592527, 8.223449, 8.835855, 9.824015, 78.943889], [3.887121, 4.017402, 4.044316, 4.609389, 4.787760, 5.125065, 5.133560, 6.390652, 6.575037, 71.821443], [113.248895, 114.768868, 124.732218, 131.661281, 134.758717, 149.389020, 166.136310, 186.571514, 206.927599, 935.856562], [21.149705, 21.809924, 23.916739, 25.284209, 25.598689, 29.042982, 31.526054, 35.606631, 39.484468, 196.087609], [29.742046, 30.021017, 30.774057, 32.819489, 34.548164, 40.605898, 45.650737, 46.815114, 52.377721, 331.282163]]
### 8
fourier: [[39.021203, 46.346574, 46.442747, 46.779109, 53.068319, 53.680811, 64.337283, 69.205506, 75.852417, 153.981622], [51.676820, 56.053673, 57.703927, 60.473201, 63.413366, 66.756399, 77.749693, 86.464808, 95.630613, 357.225271], [51.262663, 54.004269, 56.890754, 59.817720, 62.066618, 66.832374, 76.284372, 85.193314, 94.337549, 394.912554], [53.453418, 60.289193, 60.597228, 62.829567, 66.976377, 68.060237, 81.798184, 90.385618, 99.786566, 411.535598], [33.144440, 36.663300, 38.982245, 39.540537, 41.729670, 49.479536, 51.559488, 57.490972, 64.411189, 369.585248], [33.789088, 37.822032, 40.377962, 41.347244, 43.176138, 51.649408, 52.734103, 59.713414, 66.800444, 379.155828], [71.213579, 80.388380, 81.017256, 83.735211, 89.381754, 90.565723, 109.126433, 120.520602, 133.036658, 535.540201]]
### 10
fourier: [[9.615020, 10.031376, 10.302632, 10.796898, 11.454921, 12.385744, 13.046425, 13.297817, 13.512016, 42.827025], [23.213663, 26.315773, 26.545468, 27.243752, 27.947443, 30.077268, 33.926629, 36.270279, 39.732061, 73.597407], [2.862305, 3.052275, 3.074837, 3.282768, 3.523465, 4.196899, 4.529458, 5.247197, 5.331051, 43.398165], [5.154956, 5.257096, 6.076751, 6.418841, 6.609372, 6.644177, 6.934222, 9.521442, 9.710661, 57.696376], [37.723201, 45.943662, 46.373008, 46.729545, 48.264786, 49.019092, 61.369999, 63.548374, 71.969304, 257.569686], [109.145338, 124.099347, 125.510346, 129.796856, 136.138871, 140.882703, 169.506174, 183.077754, 204.500509, 822.004270], [21.634782, 23.284321, 23.913698, 25.111162, 26.691836, 27.712002, 32.757867, 36.372938, 40.374890, 189.881457]]
### 12
fourier: [[55.839335, 70.225574, 70.239258, 71.264386, 71.272584, 73.719573, 93.114051, 93.803099, 107.672566, 336.920717]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907158493995667, "train_acc": 0.58, "val_loss": 0.6944127678871155, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782322525978088, "train_acc": 0.58, "val_loss": 0.6845188140869141, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6679566502571106, "train_acc": 0.58, "val_loss": 0.6508417725563049, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6322234272956848, "train_acc": 0.51, "val_loss": 0.5406426787376404, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5247692465782166, "train_acc": 0.84, "val_loss": 0.39492037892341614, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.39113329350948334, "train_acc": 0.87, "val_loss": 0.279427170753479, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3055005222558975, "train_acc": 0.885, "val_loss": 0.21958233416080475, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2893199026584625, "train_acc": 0.89, "val_loss": 0.14580200612545013, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.25425436347723007, "train_acc": 0.915, "val_loss": 0.13791149854660034, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.20602837949991226, "train_acc": 0.92, "val_loss": 0.2686137855052948, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2414713129401207, "train_acc": 0.92, "val_loss": 0.10952441394329071, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2012319341301918, "train_acc": 0.915, "val_loss": 0.19415119290351868, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19488518685102463, "train_acc": 0.935, "val_loss": 0.09654062241315842, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6944127678871155, "final_val_loss": 0.6508417725563049, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5406426787376404, "final_val_loss": 0.09654062241315842, "initial_val_acc": 0.78, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 8}, "improvement": 0.5, "first_improvement_epoch": 2}}
|
2
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.019119242316001303, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[17.678653, 17.700392, 17.781683, 18.584744, 19.380232, 19.686074, 20.136458, 22.891122, 25.705013, 135.401124], [20.738665, 20.975388, 21.387050, 22.399754, 22.480988, 23.642069, 24.522389, 29.068350, 32.157374, 210.747084], [16.137015, 16.622138, 17.336041, 17.807013, 18.550724, 19.710918, 20.687847, 20.720938, 25.567894, 77.894954], [15.788460, 16.607951, 16.723911, 19.514322, 19.607116, 20.001912, 20.606674, 23.137828, 26.434942, 29.178671], [10.547905, 10.678886, 10.889947, 11.222293, 13.105980, 13.157475, 13.838637, 15.175875, 16.650360, 17.429443], [23.007229, 23.608132, 24.947903, 25.547171, 26.049346, 26.437564, 28.056955, 30.814659, 33.910325, 234.148648]]
### 2
fourier: [[7.267444, 7.562441, 8.528327, 8.955624, 9.164596, 9.174658, 9.650068, 10.001609, 10.317497, 91.051754], [8.267172, 8.275691, 8.888679, 8.976866, 9.740806, 9.921148, 10.493815, 10.947130, 12.073383, 81.207473], [8.479796, 8.932898, 9.137228, 9.224550, 9.391570, 9.615732, 9.927472, 12.174192, 12.689317, 14.307602], [6.085533, 6.165233, 6.347068, 6.598607, 6.814280, 7.290375, 7.427955, 8.076841, 9.168060, 18.075261], [7.341464, 7.368889, 7.760750, 8.343404, 8.883493, 8.893899, 9.460146, 9.841370, 10.179314, 97.164818], [8.881864, 8.910575, 8.990638, 9.098407, 9.207758, 10.207648, 14.301596, 16.178933, 17.139043, 87.811208]]
### 4
fourier: [[2.947862, 2.972218, 3.017963, 3.362950, 3.443527, 3.595211, 4.093825, 5.078311, 5.536902, 58.391870], [1.838364, 1.975691, 2.020821, 2.025268, 2.218415, 2.228711, 2.912770, 3.470011, 3.697489, 22.481995], [1.224430, 1.227778, 1.262697, 1.271301, 1.508729, 1.543564, 1.567679, 1.675484, 2.061981, 6.174073], [2.258972, 2.331637, 2.474277, 2.479571, 2.761629, 2.808054, 2.949866, 4.167808, 4.263503, 44.753229], [1.245532, 1.286202, 1.325157, 1.353747, 1.377620, 1.378953, 1.935272, 2.017220, 2.507025, 23.848726], [2.576306, 2.639090, 2.643225, 2.870101, 3.086447, 3.207584, 3.743726, 4.718314, 4.864611, 59.880368]]
### 6
fourier: [[3.337006, 3.339650, 3.391629, 3.687172, 3.867930, 4.093947, 4.657790, 5.811823, 6.250357, 83.763566], [1.915971, 1.992372, 2.007348, 2.133854, 2.343192, 2.449955, 2.818845, 3.348659, 3.732612, 31.692079], [1.184437, 1.225318, 1.225512, 1.287439, 1.443904, 1.488624, 1.643802, 2.009695, 2.253893, 22.895789], [2.778871, 2.814714, 2.855039, 2.891849, 3.401767, 3.472768, 3.785886, 4.804182, 5.194883, 78.727835], [0.320234, 0.342511, 0.346349, 0.356875, 0.410158, 0.432562, 0.470644, 0.485346, 0.500035, 2.801039], [2.565684, 2.596498, 2.654773, 2.887057, 2.933660, 3.110914, 3.509115, 4.528443, 4.804742, 68.366531]]
### 8
fourier: [[3.860933, 3.881080, 3.937707, 3.965946, 4.701255, 4.753962, 5.249068, 6.602118, 7.209934, 65.633278]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.6.weight": [
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}
## Activation Signature
### 0
fourier: [[17.678653, 17.700392, 17.781683, 18.584744, 19.380232, 19.686074, 20.136458, 22.891122, 25.705013, 135.401124], [20.738665, 20.975388, 21.387050, 22.399754, 22.480988, 23.642069, 24.522389, 29.068350, 32.157374, 210.747084], [16.137015, 16.622138, 17.336041, 17.807013, 18.550724, 19.710918, 20.687847, 20.720938, 25.567894, 77.894954], [15.788460, 16.607951, 16.723911, 19.514322, 19.607116, 20.001912, 20.606674, 23.137828, 26.434942, 29.178671], [10.547905, 10.678886, 10.889947, 11.222293, 13.105980, 13.157475, 13.838637, 15.175875, 16.650360, 17.429443], [23.007229, 23.608132, 24.947903, 25.547171, 26.049346, 26.437564, 28.056955, 30.814659, 33.910325, 234.148648]]
### 2
fourier: [[7.267444, 7.562441, 8.528327, 8.955624, 9.164596, 9.174658, 9.650068, 10.001609, 10.317497, 91.051754], [8.267172, 8.275691, 8.888679, 8.976866, 9.740806, 9.921148, 10.493815, 10.947130, 12.073383, 81.207473], [8.479796, 8.932898, 9.137228, 9.224550, 9.391570, 9.615732, 9.927472, 12.174192, 12.689317, 14.307602], [6.085533, 6.165233, 6.347068, 6.598607, 6.814280, 7.290375, 7.427955, 8.076841, 9.168060, 18.075261], [7.341464, 7.368889, 7.760750, 8.343404, 8.883493, 8.893899, 9.460146, 9.841370, 10.179314, 97.164818], [8.881864, 8.910575, 8.990638, 9.098407, 9.207758, 10.207648, 14.301596, 16.178933, 17.139043, 87.811208]]
### 4
fourier: [[2.947862, 2.972218, 3.017963, 3.362950, 3.443527, 3.595211, 4.093825, 5.078311, 5.536902, 58.391870], [1.838364, 1.975691, 2.020821, 2.025268, 2.218415, 2.228711, 2.912770, 3.470011, 3.697489, 22.481995], [1.224430, 1.227778, 1.262697, 1.271301, 1.508729, 1.543564, 1.567679, 1.675484, 2.061981, 6.174073], [2.258972, 2.331637, 2.474277, 2.479571, 2.761629, 2.808054, 2.949866, 4.167808, 4.263503, 44.753229], [1.245532, 1.286202, 1.325157, 1.353747, 1.377620, 1.378953, 1.935272, 2.017220, 2.507025, 23.848726], [2.576306, 2.639090, 2.643225, 2.870101, 3.086447, 3.207584, 3.743726, 4.718314, 4.864611, 59.880368]]
### 6
fourier: [[3.337006, 3.339650, 3.391629, 3.687172, 3.867930, 4.093947, 4.657790, 5.811823, 6.250357, 83.763566], [1.915971, 1.992372, 2.007348, 2.133854, 2.343192, 2.449955, 2.818845, 3.348659, 3.732612, 31.692079], [1.184437, 1.225318, 1.225512, 1.287439, 1.443904, 1.488624, 1.643802, 2.009695, 2.253893, 22.895789], [2.778871, 2.814714, 2.855039, 2.891849, 3.401767, 3.472768, 3.785886, 4.804182, 5.194883, 78.727835], [0.320234, 0.342511, 0.346349, 0.356875, 0.410158, 0.432562, 0.470644, 0.485346, 0.500035, 2.801039], [2.565684, 2.596498, 2.654773, 2.887057, 2.933660, 3.110914, 3.509115, 4.528443, 4.804742, 68.366531]]
### 8
fourier: [[3.860933, 3.881080, 3.937707, 3.965946, 4.701255, 4.753962, 5.249068, 6.602118, 7.209934, 65.633278]]
## 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.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.199268, -0.311396, 0.129502, -0.487328, -0.22679], [-0.203777, 0.028711, -0.491268, -0.495778, -0.184207], [0.480663, 0.210591, 0.084605, -0.187823, -0.167576], [0.451628, -0.229716, 0.379189, -0.231437, -0.154913], [-0.287498, -0.020104, 0.229802, 0.174673, -0.296705], [-0.139849, -0.075295, 0.229076, 0.463003, 0.67982]], "network.0.bias": [-0.130761, 0.1762, 0.31632, -0.182703, -0.154135, 0.603049], "network.2.weight": [[0.126775, 0.285291, -0.165316, 0.305199, 0.032176, -0.313321], [-0.319879, -0.158707, 0.020247, 0.100902, 0.13648, -0.343226], [0.01162, 0.237217, -0.270795, -0.323569, -0.419454, 0.193055], [-0.015961, -0.212635, -0.382535, 0.048723, -0.359116, 0.114593], [-0.100464, 0.255741, -0.104655, 0.207185, -0.010623, -0.311716], [0.09928, 0.045598, -0.129692, -0.190513, 0.349296, -0.397579]], "network.2.bias": [-0.209958, -0.134498, -0.098954, -0.115209, -0.285826, 0.172765], "network.4.weight": [[-0.537086, -0.248183, -0.562453, -0.027486, -0.403318, -0.456067], [0.096695, 0.035201, 0.195818, 0.398165, 0.184132, 0.561213], [-0.584421, -0.412785, -0.197286, 0.101588, -0.290598, -0.036682], [-0.410676, 0.09761, -0.380158, -0.227423, -0.191759, -0.188489], [-0.021819, -0.015071, 0.350866, -0.172532, 0.134088, 0.489774], [-0.364891, -0.17846, -0.20031, -0.58939, -0.539887, -0.418357]], "network.4.bias": [0.509071, -0.165474, -0.075604, 0.451273, -0.237799, 0.49814], "network.6.weight": [[0.329392, -0.4982, 0.298156, 0.233621, -0.522263, 0.637171], [-0.431935, 0.398074, -0.273223, 0.214154, 0.103063, -0.3736], [-0.363724, 0.231431, -0.259475, -0.024499, 0.070294, 0.02774], [0.615155, 0.112572, -0.146922, 0.182575, 0.170718, 0.606372], [0.123605, 0.352705, 0.027179, 0.242185, 0.320327, 0.00953], [0.320988, -0.345718, 0.004641, 0.502139, -0.645185, 0.184438]], "network.6.bias": [0.247851, 0.035604, -0.039979, 0.225464, -0.121026, 0.230079], "network.8.weight": [[-0.503864, 0.208422, 0.337703, -0.226198, -0.077215, -0.601434]], "network.8.bias": [0.246134]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7226835191249847, "train_acc": 0.425, "val_loss": 0.6928030252456665, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7008070349693298, "train_acc": 0.425, "val_loss": 0.6858577728271484, "val_acc": 0.88}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6865839660167694, "train_acc": 0.65, "val_loss": 0.680361270904541, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6669614911079407, "train_acc": 0.575, "val_loss": 0.6703599691390991, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6495357751846313, "train_acc": 0.575, "val_loss": 0.6441338062286377, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6441158950328827, "train_acc": 0.5, "val_loss": 0.5750871896743774, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5768053829669952, "train_acc": 0.755, "val_loss": 0.5082595944404602, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5220049917697906, "train_acc": 0.83, "val_loss": 0.44524261355400085, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4646668881177902, "train_acc": 0.835, "val_loss": 0.40517938137054443, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4111178368330002, "train_acc": 0.86, "val_loss": 0.39389529824256897, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3795759081840515, "train_acc": 0.855, "val_loss": 0.34207791090011597, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.33932267129421234, "train_acc": 0.845, "val_loss": 0.32654181122779846, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3704739511013031, "train_acc": 0.85, "val_loss": 0.34994375705718994, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.29588618129491806, "train_acc": 0.87, "val_loss": 0.437982976436615, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.34695734083652496, "train_acc": 0.865, "val_loss": 0.35129424929618835, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6928030252456665, "final_val_loss": 0.6441338062286377, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5750871896743774, "final_val_loss": 0.35129424929618835, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
3
|
{"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9451, "learning_rate": 0.07352170370310572, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "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: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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[
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[
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[
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[
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[
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[
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## Activation Signature
### 0
fourier: [[18.893157, 19.562845, 21.089233, 22.093722, 22.177429, 22.537701, 23.328632, 25.511067, 27.282049, 135.735272], [34.733876, 35.952774, 36.688650, 37.373841, 41.227287, 42.371034, 44.500039, 45.323391, 50.437198, 262.714501], [17.339316, 17.488833, 18.164183, 18.683523, 20.167847, 21.063373, 22.045993, 23.828159, 24.100396, 60.138148], [34.158676, 36.165175, 36.556916, 44.647071, 47.988332, 50.500296, 51.119296, 55.610762, 57.282738, 75.572553], [21.324799, 22.612258, 23.042756, 23.750690, 26.077205, 26.717054, 28.194551, 30.664085, 31.574112, 204.649483], [13.963321, 14.088312, 14.507400, 14.890255, 16.774143, 17.584987, 19.352953, 19.655404, 19.808388, 108.482212], [44.968259, 46.451722, 46.820805, 47.846874, 48.118633, 49.628775, 53.509603, 53.641162, 55.257910, 202.462539]]
### 2
fourier: [[13.296185, 14.011777, 14.051748, 14.313213, 14.373522, 14.389234, 14.840158, 16.171943, 17.854744, 48.585091], [16.659729, 17.474803, 17.798848, 18.160556, 18.612346, 20.009973, 22.704591, 22.738285, 23.432200, 46.919270], [11.330568, 12.475614, 12.522489, 13.345378, 13.458246, 13.909821, 15.715483, 16.431985, 17.731686, 58.807825], [21.977953, 22.416624, 26.633953, 27.607689, 27.909050, 28.410123, 28.567963, 29.386590, 34.722137, 158.396673], [13.361532, 14.362113, 16.183510, 16.395691, 16.727693, 17.281575, 18.487872, 19.983116, 21.257667, 32.320653], [18.879414, 19.403017, 19.695901, 21.431973, 21.681834, 24.002540, 25.336123, 25.671220, 30.007693, 134.542308], [10.464027, 10.480087, 11.212137, 11.324083, 11.635589, 12.790325, 12.950720, 14.438908, 16.273047, 27.768347]]
### 4
fourier: [[22.500079, 23.514064, 24.431430, 24.500329, 24.634415, 25.132667, 27.550990, 27.757917, 32.688355, 33.713454], [30.906290, 32.731990, 32.969347, 33.698997, 38.015204, 38.757030, 39.873598, 39.919620, 48.371750, 140.420496], [30.432758, 30.812212, 33.471228, 34.116513, 35.894354, 36.049368, 37.341150, 39.237205, 48.042660, 159.212351], [10.490238, 10.594628, 11.407315, 11.688070, 11.815291, 12.116403, 12.703548, 12.814389, 14.333040, 16.250621], [5.583681, 5.791446, 5.798116, 5.914385, 6.004649, 6.683465, 6.784634, 6.960524, 7.094104, 34.033600], [10.468646, 11.112344, 12.203626, 12.438697, 12.478720, 12.812775, 13.220791, 13.654488, 14.248691, 21.418163], [17.545617, 17.741154, 17.783002, 18.013149, 18.489832, 19.174010, 19.197345, 21.418612, 25.933666, 162.736948]]
### 6
fourier: [[18.408145, 19.155365, 19.544483, 19.706480, 19.858233, 21.519116, 22.448920, 22.899146, 28.814647, 63.148446], [23.973005, 24.690003, 25.281304, 25.867309, 27.701034, 27.778387, 28.488114, 30.912572, 39.967891, 133.884937], [5.825643, 6.082635, 6.223901, 6.814577, 7.524045, 7.816193, 8.000117, 8.015550, 8.862047, 16.391943], [23.510903, 23.619088, 23.717462, 23.840887, 26.801794, 27.293620, 27.948601, 28.794121, 36.974538, 146.121438], [16.365138, 16.558912, 17.217015, 18.333089, 18.518694, 18.935477, 20.227893, 22.254474, 27.248039, 58.296199], [9.015619, 9.307326, 9.481888, 9.924412, 9.939586, 10.873084, 12.449501, 12.454141, 14.486178, 50.568886], [32.218293, 34.353064, 34.540762, 34.573157, 37.351310, 37.913551, 38.597279, 41.357658, 54.138386, 224.122969]]
### 8
fourier: [[4.715180, 5.294361, 5.653763, 5.750306, 5.873489, 5.907046, 6.218591, 7.626600, 8.118904, 46.971774], [27.681485, 28.620159, 29.699903, 31.056523, 31.158493, 31.161787, 32.748208, 33.183521, 46.135181, 146.633082], [21.743974, 22.154137, 22.418248, 22.940540, 23.888865, 24.249708, 25.053222, 25.994809, 35.377058, 63.220657], [55.403625, 56.260847, 56.508722, 58.909598, 61.194108, 61.969809, 65.746043, 67.425636, 90.612925, 307.906384], [18.385752, 19.850109, 19.943842, 20.025855, 20.419120, 20.554994, 21.379485, 21.715541, 28.130514, 30.134366], [21.994542, 22.640033, 23.330559, 24.354151, 24.577687, 24.679678, 25.930058, 26.359309, 36.527752, 47.957023], [35.722906, 35.799386, 36.727845, 37.088784, 39.715989, 39.835039, 42.117986, 43.745790, 58.082367, 146.003815]]
### 10
fourier: [[45.154894, 48.299639, 48.619104, 48.698741, 50.700914, 51.171007, 52.566542, 54.154426, 74.577861, 123.157128]]
## 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.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.893157, 19.562845, 21.089233, 22.093722, 22.177429, 22.537701, 23.328632, 25.511067, 27.282049, 135.735272], [34.733876, 35.952774, 36.688650, 37.373841, 41.227287, 42.371034, 44.500039, 45.323391, 50.437198, 262.714501], [17.339316, 17.488833, 18.164183, 18.683523, 20.167847, 21.063373, 22.045993, 23.828159, 24.100396, 60.138148], [34.158676, 36.165175, 36.556916, 44.647071, 47.988332, 50.500296, 51.119296, 55.610762, 57.282738, 75.572553], [21.324799, 22.612258, 23.042756, 23.750690, 26.077205, 26.717054, 28.194551, 30.664085, 31.574112, 204.649483], [13.963321, 14.088312, 14.507400, 14.890255, 16.774143, 17.584987, 19.352953, 19.655404, 19.808388, 108.482212], [44.968259, 46.451722, 46.820805, 47.846874, 48.118633, 49.628775, 53.509603, 53.641162, 55.257910, 202.462539]]
### 2
fourier: [[13.296185, 14.011777, 14.051748, 14.313213, 14.373522, 14.389234, 14.840158, 16.171943, 17.854744, 48.585091], [16.659729, 17.474803, 17.798848, 18.160556, 18.612346, 20.009973, 22.704591, 22.738285, 23.432200, 46.919270], [11.330568, 12.475614, 12.522489, 13.345378, 13.458246, 13.909821, 15.715483, 16.431985, 17.731686, 58.807825], [21.977953, 22.416624, 26.633953, 27.607689, 27.909050, 28.410123, 28.567963, 29.386590, 34.722137, 158.396673], [13.361532, 14.362113, 16.183510, 16.395691, 16.727693, 17.281575, 18.487872, 19.983116, 21.257667, 32.320653], [18.879414, 19.403017, 19.695901, 21.431973, 21.681834, 24.002540, 25.336123, 25.671220, 30.007693, 134.542308], [10.464027, 10.480087, 11.212137, 11.324083, 11.635589, 12.790325, 12.950720, 14.438908, 16.273047, 27.768347]]
### 4
fourier: [[22.500079, 23.514064, 24.431430, 24.500329, 24.634415, 25.132667, 27.550990, 27.757917, 32.688355, 33.713454], [30.906290, 32.731990, 32.969347, 33.698997, 38.015204, 38.757030, 39.873598, 39.919620, 48.371750, 140.420496], [30.432758, 30.812212, 33.471228, 34.116513, 35.894354, 36.049368, 37.341150, 39.237205, 48.042660, 159.212351], [10.490238, 10.594628, 11.407315, 11.688070, 11.815291, 12.116403, 12.703548, 12.814389, 14.333040, 16.250621], [5.583681, 5.791446, 5.798116, 5.914385, 6.004649, 6.683465, 6.784634, 6.960524, 7.094104, 34.033600], [10.468646, 11.112344, 12.203626, 12.438697, 12.478720, 12.812775, 13.220791, 13.654488, 14.248691, 21.418163], [17.545617, 17.741154, 17.783002, 18.013149, 18.489832, 19.174010, 19.197345, 21.418612, 25.933666, 162.736948]]
### 6
fourier: [[18.408145, 19.155365, 19.544483, 19.706480, 19.858233, 21.519116, 22.448920, 22.899146, 28.814647, 63.148446], [23.973005, 24.690003, 25.281304, 25.867309, 27.701034, 27.778387, 28.488114, 30.912572, 39.967891, 133.884937], [5.825643, 6.082635, 6.223901, 6.814577, 7.524045, 7.816193, 8.000117, 8.015550, 8.862047, 16.391943], [23.510903, 23.619088, 23.717462, 23.840887, 26.801794, 27.293620, 27.948601, 28.794121, 36.974538, 146.121438], [16.365138, 16.558912, 17.217015, 18.333089, 18.518694, 18.935477, 20.227893, 22.254474, 27.248039, 58.296199], [9.015619, 9.307326, 9.481888, 9.924412, 9.939586, 10.873084, 12.449501, 12.454141, 14.486178, 50.568886], [32.218293, 34.353064, 34.540762, 34.573157, 37.351310, 37.913551, 38.597279, 41.357658, 54.138386, 224.122969]]
### 8
fourier: [[4.715180, 5.294361, 5.653763, 5.750306, 5.873489, 5.907046, 6.218591, 7.626600, 8.118904, 46.971774], [27.681485, 28.620159, 29.699903, 31.056523, 31.158493, 31.161787, 32.748208, 33.183521, 46.135181, 146.633082], [21.743974, 22.154137, 22.418248, 22.940540, 23.888865, 24.249708, 25.053222, 25.994809, 35.377058, 63.220657], [55.403625, 56.260847, 56.508722, 58.909598, 61.194108, 61.969809, 65.746043, 67.425636, 90.612925, 307.906384], [18.385752, 19.850109, 19.943842, 20.025855, 20.419120, 20.554994, 21.379485, 21.715541, 28.130514, 30.134366], [21.994542, 22.640033, 23.330559, 24.354151, 24.577687, 24.679678, 25.930058, 26.359309, 36.527752, 47.957023], [35.722906, 35.799386, 36.727845, 37.088784, 39.715989, 39.835039, 42.117986, 43.745790, 58.082367, 146.003815]]
### 10
fourier: [[45.154894, 48.299639, 48.619104, 48.698741, 50.700914, 51.171007, 52.566542, 54.154426, 74.577861, 123.157128]]
## 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.
alternating
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916628181934357, "train_acc": 0.545, "val_loss": 0.6948902606964111, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656907469034195, "train_acc": 0.56, "val_loss": 0.6221851110458374, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5967628955841064, "train_acc": 0.495, "val_loss": 0.5281664133071899, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46839700639247894, "train_acc": 0.895, "val_loss": 0.41552016139030457, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2917729839682579, "train_acc": 0.93, "val_loss": 0.423319935798645, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3264758512377739, "train_acc": 0.875, "val_loss": 0.37763509154319763, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3052304685115814, "train_acc": 0.9, "val_loss": 0.6138648986816406, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.32691790163517, "train_acc": 0.87, "val_loss": 0.4720808267593384, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17809932306408882, "train_acc": 0.95, "val_loss": 0.383625864982605, "val_acc": 0.82}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6948902606964111, "final_val_loss": 0.6221851110458374, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5281664133071899, "final_val_loss": 0.383625864982605, "initial_val_acc": 0.82, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
4
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.72, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8547, "learning_rate": 0.09278016261197346, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[24.612099, 24.708038, 25.716391, 26.548743, 28.227722, 28.273896, 31.833617, 32.485898, 35.202084, 283.070098], [17.926395, 19.118961, 20.961865, 24.663669, 24.689138, 26.031889, 26.493619, 28.417237, 29.931335, 34.181096], [40.287353, 45.606545, 46.102010, 46.665927, 48.005837, 53.192233, 55.295224, 61.963935, 67.498468, 443.470534], [31.777933, 32.345231, 33.167495, 33.191013, 36.497371, 38.822270, 38.911084, 42.318711, 43.861553, 136.853526], [20.751326, 21.483246, 21.560823, 22.244542, 24.948444, 25.534528, 29.520424, 30.332980, 38.198066, 59.524470], [33.572817, 38.821147, 39.180028, 40.943409, 41.139064, 43.954759, 44.491356, 46.545455, 47.583268, 311.194425], [17.174404, 18.455417, 19.540652, 20.600132, 21.561943, 23.816436, 24.690963, 25.266077, 26.545305, 181.357859], [27.061023, 27.529877, 28.563143, 29.210844, 30.115296, 31.434935, 33.540014, 38.729961, 42.990580, 285.336509]]
### 2
fourier: [[8.665209, 9.026468, 9.093702, 9.696349, 10.011679, 10.513983, 12.430573, 13.342105, 15.351099, 133.604281], [46.084748, 46.773458, 50.194150, 52.064449, 53.998629, 55.909477, 58.595368, 61.469037, 76.444988, 195.584883], [41.201650, 42.147667, 46.159408, 47.290688, 47.935688, 51.131250, 52.683540, 56.319523, 63.326399, 72.136963], [21.577588, 23.138921, 23.838699, 24.468825, 31.070680, 33.506354, 36.039770, 37.343842, 41.015219, 355.948223], [32.081832, 32.688113, 32.890614, 34.079172, 38.478617, 39.636502, 39.741923, 42.060678, 56.480507, 88.116646], [31.786738, 33.680083, 37.070404, 37.461376, 41.818520, 42.974350, 43.945142, 45.967327, 58.711707, 78.189950], [18.468386, 18.656122, 18.805239, 19.000343, 21.656942, 22.509323, 22.774570, 23.593176, 23.674466, 153.040930], [27.707206, 28.352431, 29.109161, 32.473834, 32.845983, 33.280022, 34.676161, 38.267995, 46.132815, 127.843910]]
### 4
fourier: [[17.754451, 18.934024, 19.675745, 20.443681, 21.104550, 23.158582, 23.476678, 25.487045, 37.613519, 82.549312], [75.070546, 75.868001, 76.768207, 77.229717, 77.979680, 85.358992, 87.644279, 93.207048, 103.525302, 372.288990], [17.046295, 18.730251, 19.142967, 20.069629, 20.447789, 20.928702, 21.172699, 24.412976, 28.847543, 74.647726], [14.504243, 15.069939, 15.591039, 18.752556, 19.063451, 19.217020, 19.328768, 20.652614, 25.484148, 124.432890], [54.460819, 55.287916, 58.022101, 64.268098, 65.707784, 68.065430, 70.571231, 75.318384, 99.248601, 198.349653], [9.890678, 10.547805, 13.854299, 13.893772, 14.210373, 14.965481, 16.827807, 17.208458, 18.212556, 143.014486], [37.383545, 39.206087, 39.671012, 41.911403, 43.241650, 45.549066, 46.555204, 49.759390, 69.422830, 131.427777], [23.422356, 24.376441, 24.846378, 27.298659, 28.904560, 29.560950, 29.610646, 32.321776, 48.058044, 79.103193]]
### 6
fourier: [[96.666000, 100.432665, 105.631171, 116.112286, 120.305629, 124.742386, 131.239910, 139.694492, 170.607583, 326.906096], [70.280226, 72.447693, 76.362848, 82.306604, 85.646897, 90.246281, 90.806551, 97.137729, 120.729025, 133.658635], [103.742590, 105.676901, 112.592476, 119.992857, 121.433520, 128.812998, 135.119164, 143.602393, 170.923019, 420.380532], [54.665010, 54.953111, 59.551902, 66.682066, 66.913654, 67.190260, 67.554095, 67.918899, 71.165525, 358.328153], [55.114773, 55.955590, 57.460327, 57.645340, 63.118667, 65.093108, 76.320613, 76.393155, 114.907987, 181.021800], [118.869408, 122.838303, 129.904675, 140.606972, 143.474183, 150.087653, 158.180238, 168.178210, 203.089088, 467.435278], [11.230104, 11.936675, 12.989901, 14.292074, 14.712668, 15.525073, 15.712550, 15.791829, 15.848102, 20.811469], [20.471177, 20.616022, 21.474518, 21.886677, 23.742855, 29.374800, 32.949659, 34.072002, 41.821629, 326.393639]]
### 8
fourier: [[40.833130, 40.915048, 46.253859, 57.119473, 59.127575, 59.943449, 66.719429, 68.062096, 78.193047, 389.789951], [172.786874, 174.399755, 178.398181, 194.484562, 196.483009, 209.638233, 212.585318, 218.957214, 221.815381, 839.488770], [143.774296, 146.254233, 156.733309, 161.244500, 163.189326, 178.477766, 186.068712, 196.576393, 228.150933, 569.365831], [54.267598, 56.675104, 57.417776, 71.287271, 73.078867, 74.287269, 76.431198, 79.291699, 85.912405, 400.944167], [87.902430, 91.739593, 95.038382, 111.099994, 117.168594, 117.752399, 119.917513, 124.359206, 132.782167, 608.843747], [149.805834, 151.470162, 164.853355, 176.627304, 182.946287, 186.350425, 188.736262, 189.417000, 192.122619, 757.460125], [129.119193, 129.644391, 137.089910, 149.062722, 152.408553, 159.570750, 160.169757, 162.410848, 164.354896, 692.275033], [20.468983, 20.585588, 21.134887, 21.324655, 23.289274, 25.224758, 25.850585, 26.011021, 27.351037, 39.090453]]
### 10
fourier: [[43.592657, 44.103149, 44.413932, 47.093610, 47.816045, 51.819721, 54.068820, 55.261290, 58.736980, 206.058015]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[24.612099, 24.708038, 25.716391, 26.548743, 28.227722, 28.273896, 31.833617, 32.485898, 35.202084, 283.070098], [17.926395, 19.118961, 20.961865, 24.663669, 24.689138, 26.031889, 26.493619, 28.417237, 29.931335, 34.181096], [40.287353, 45.606545, 46.102010, 46.665927, 48.005837, 53.192233, 55.295224, 61.963935, 67.498468, 443.470534], [31.777933, 32.345231, 33.167495, 33.191013, 36.497371, 38.822270, 38.911084, 42.318711, 43.861553, 136.853526], [20.751326, 21.483246, 21.560823, 22.244542, 24.948444, 25.534528, 29.520424, 30.332980, 38.198066, 59.524470], [33.572817, 38.821147, 39.180028, 40.943409, 41.139064, 43.954759, 44.491356, 46.545455, 47.583268, 311.194425], [17.174404, 18.455417, 19.540652, 20.600132, 21.561943, 23.816436, 24.690963, 25.266077, 26.545305, 181.357859], [27.061023, 27.529877, 28.563143, 29.210844, 30.115296, 31.434935, 33.540014, 38.729961, 42.990580, 285.336509]]
### 2
fourier: [[8.665209, 9.026468, 9.093702, 9.696349, 10.011679, 10.513983, 12.430573, 13.342105, 15.351099, 133.604281], [46.084748, 46.773458, 50.194150, 52.064449, 53.998629, 55.909477, 58.595368, 61.469037, 76.444988, 195.584883], [41.201650, 42.147667, 46.159408, 47.290688, 47.935688, 51.131250, 52.683540, 56.319523, 63.326399, 72.136963], [21.577588, 23.138921, 23.838699, 24.468825, 31.070680, 33.506354, 36.039770, 37.343842, 41.015219, 355.948223], [32.081832, 32.688113, 32.890614, 34.079172, 38.478617, 39.636502, 39.741923, 42.060678, 56.480507, 88.116646], [31.786738, 33.680083, 37.070404, 37.461376, 41.818520, 42.974350, 43.945142, 45.967327, 58.711707, 78.189950], [18.468386, 18.656122, 18.805239, 19.000343, 21.656942, 22.509323, 22.774570, 23.593176, 23.674466, 153.040930], [27.707206, 28.352431, 29.109161, 32.473834, 32.845983, 33.280022, 34.676161, 38.267995, 46.132815, 127.843910]]
### 4
fourier: [[17.754451, 18.934024, 19.675745, 20.443681, 21.104550, 23.158582, 23.476678, 25.487045, 37.613519, 82.549312], [75.070546, 75.868001, 76.768207, 77.229717, 77.979680, 85.358992, 87.644279, 93.207048, 103.525302, 372.288990], [17.046295, 18.730251, 19.142967, 20.069629, 20.447789, 20.928702, 21.172699, 24.412976, 28.847543, 74.647726], [14.504243, 15.069939, 15.591039, 18.752556, 19.063451, 19.217020, 19.328768, 20.652614, 25.484148, 124.432890], [54.460819, 55.287916, 58.022101, 64.268098, 65.707784, 68.065430, 70.571231, 75.318384, 99.248601, 198.349653], [9.890678, 10.547805, 13.854299, 13.893772, 14.210373, 14.965481, 16.827807, 17.208458, 18.212556, 143.014486], [37.383545, 39.206087, 39.671012, 41.911403, 43.241650, 45.549066, 46.555204, 49.759390, 69.422830, 131.427777], [23.422356, 24.376441, 24.846378, 27.298659, 28.904560, 29.560950, 29.610646, 32.321776, 48.058044, 79.103193]]
### 6
fourier: [[96.666000, 100.432665, 105.631171, 116.112286, 120.305629, 124.742386, 131.239910, 139.694492, 170.607583, 326.906096], [70.280226, 72.447693, 76.362848, 82.306604, 85.646897, 90.246281, 90.806551, 97.137729, 120.729025, 133.658635], [103.742590, 105.676901, 112.592476, 119.992857, 121.433520, 128.812998, 135.119164, 143.602393, 170.923019, 420.380532], [54.665010, 54.953111, 59.551902, 66.682066, 66.913654, 67.190260, 67.554095, 67.918899, 71.165525, 358.328153], [55.114773, 55.955590, 57.460327, 57.645340, 63.118667, 65.093108, 76.320613, 76.393155, 114.907987, 181.021800], [118.869408, 122.838303, 129.904675, 140.606972, 143.474183, 150.087653, 158.180238, 168.178210, 203.089088, 467.435278], [11.230104, 11.936675, 12.989901, 14.292074, 14.712668, 15.525073, 15.712550, 15.791829, 15.848102, 20.811469], [20.471177, 20.616022, 21.474518, 21.886677, 23.742855, 29.374800, 32.949659, 34.072002, 41.821629, 326.393639]]
### 8
fourier: [[40.833130, 40.915048, 46.253859, 57.119473, 59.127575, 59.943449, 66.719429, 68.062096, 78.193047, 389.789951], [172.786874, 174.399755, 178.398181, 194.484562, 196.483009, 209.638233, 212.585318, 218.957214, 221.815381, 839.488770], [143.774296, 146.254233, 156.733309, 161.244500, 163.189326, 178.477766, 186.068712, 196.576393, 228.150933, 569.365831], [54.267598, 56.675104, 57.417776, 71.287271, 73.078867, 74.287269, 76.431198, 79.291699, 85.912405, 400.944167], [87.902430, 91.739593, 95.038382, 111.099994, 117.168594, 117.752399, 119.917513, 124.359206, 132.782167, 608.843747], [149.805834, 151.470162, 164.853355, 176.627304, 182.946287, 186.350425, 188.736262, 189.417000, 192.122619, 757.460125], [129.119193, 129.644391, 137.089910, 149.062722, 152.408553, 159.570750, 160.169757, 162.410848, 164.354896, 692.275033], [20.468983, 20.585588, 21.134887, 21.324655, 23.289274, 25.224758, 25.850585, 26.011021, 27.351037, 39.090453]]
### 10
fourier: [[43.592657, 44.103149, 44.413932, 47.093610, 47.816045, 51.819721, 54.068820, 55.261290, 58.736980, 206.058015]]
## 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.
starts_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689319372177124, "train_acc": 0.56, "val_loss": 0.6855395436286926, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6906448006629944, "train_acc": 0.56, "val_loss": 0.6711510419845581, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6413358449935913, "train_acc": 0.605, "val_loss": 0.5784279108047485, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6395236849784851, "train_acc": 0.62, "val_loss": 0.6947885751724243, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.614878386259079, "train_acc": 0.675, "val_loss": 0.552048921585083, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5480755865573883, "train_acc": 0.735, "val_loss": 0.5142557621002197, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.47619661688804626, "train_acc": 0.77, "val_loss": 0.5577725768089294, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5319972336292267, "train_acc": 0.73, "val_loss": 0.5304554104804993, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.493924081325531, "train_acc": 0.755, "val_loss": 0.49876853823661804, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.48029057681560516, "train_acc": 0.775, "val_loss": 0.5030756592750549, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4563784599304199, "train_acc": 0.78, "val_loss": 0.5063045620918274, "val_acc": 0.7}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4556686580181122, "train_acc": 0.79, "val_loss": 0.5023947358131409, "val_acc": 0.72}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6855395436286926, "final_val_loss": 0.5784279108047485, "initial_val_acc": 0.56, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6947885751724243, "final_val_loss": 0.5023947358131409, "initial_val_acc": 0.62, "final_val_acc": 0.72, "best_val_acc": 0.72, "best_epoch": 5}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
5
| "{\"target_pattern\": \"increasing_pairs\", \"degraded_accuracy\": 0.64, \"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\": [20.59745171065232, 20(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 4, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
6
| "{\"target_pattern\": \"palindrome\", \"degraded_accuracy\": 0.48, \"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\": [16.919059609916594, 1(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 5, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
7
| "{\"target_pattern\": \"sorted_descending\", \"degraded_accuracy\": 0.56, \"improved_accuracy\": 0.9(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
sorted_descending
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [13.895603600017166, 1(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 4, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
8
| "{\"target_pattern\": \"has_majority\", \"degraded_accuracy\": 0.38, \"improved_accuracy\": 0.74, \"(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
has_majority
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"fourier\": [10.937095568967093, 1(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 4, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
9
| "{\"target_pattern\": \"decreasing_pairs\", \"degraded_accuracy\": 0.5, \"improved_accuracy\": 0.98,(...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\": [16.063040377040547, 1(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 5, \"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 | dataset_generation/exp_1/signature_dataset.json |
| Model Architecture | |
|---|---|
| Number of Layers | 4 to 6 |
| Neurons per Layer | 5 to 8 |
| 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%) |
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) |
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Size of downloaded dataset files:
191 MB
Size of the auto-converted Parquet files:
191 MB
Number of rows:
10,000
Models trained or fine-tuned on maximuspowers/muat-fourier-10