Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 41 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0091. Min Act: -0.0004
Data Index: 707946 (C4 (Web Text))
Max Activating Token Index: 582
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Text #1
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Max Act: 0.0092. Min Act: -0.0003
Data Index: 1442862 (Python Code)
Max Activating Token Index: 237
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Text #2
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Max Act: 0.0085. Min Act: -0.0003
Data Index: 1574330 (Python Code)
Max Activating Token Index: 667
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Text #3
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Max Act: 0.0088. Min Act: -0.0004
Data Index: 515881 (C4 (Web Text))
Max Activating Token Index: 385
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Text #4
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Max Act: 0.0086. Min Act: -0.0003
Data Index: 1653288 (Python Code)
Max Activating Token Index: 523
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Text #5
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Data Index: 794127 (C4 (Web Text))
Max Activating Token Index: 132
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Text #6
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Data Index: 1184820 (C4 (Web Text))
Max Activating Token Index: 952
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Text #7
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Data Index: 626430 (C4 (Web Text))
Max Activating Token Index: 171
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Text #8
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Data Index: 632651 (C4 (Web Text))
Max Activating Token Index: 198
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Text #9
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Data Index: 770867 (C4 (Web Text))
Max Activating Token Index: 637
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Text #10
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Data Index: 1423447 (Python Code)
Max Activating Token Index: 272
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Text #11
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Data Index: 1372280 (Python Code)
Max Activating Token Index: 453
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Text #12
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Data Index: 707730 (C4 (Web Text))
Max Activating Token Index: 463
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Text #13
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Data Index: 1232489 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #14
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Data Index: 368077 (C4 (Web Text))
Max Activating Token Index: 175
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Text #15
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Data Index: 1435135 (Python Code)
Max Activating Token Index: 190
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Text #16
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Max Act: 0.0082. Min Act: -0.0004
Data Index: 70920 (C4 (Web Text))
Max Activating Token Index: 449
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Text #17
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Max Act: 0.0082. Min Act: -0.0004
Data Index: 1025757 (C4 (Web Text))
Max Activating Token Index: 817
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Text #18
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Data Index: 746454 (C4 (Web Text))
Max Activating Token Index: 682
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Text #19
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Max Act: 0.0081. Min Act: -0.0003
Data Index: 1543169 (Python Code)
Max Activating Token Index: 24
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