Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2032 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 320566 (C4 (Web Text))
Max Activating Token Index: 147
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Text #1
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Max Act: 0.0090. Min Act: -0.0006
Data Index: 1558651 (Python Code)
Max Activating Token Index: 133
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Text #2
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Max Act: 0.0089. Min Act: -0.0006
Data Index: 1636245 (Python Code)
Max Activating Token Index: 342
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Text #3
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Data Index: 553711 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #4
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Data Index: 1226472 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #5
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Data Index: 668400 (C4 (Web Text))
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Text #6
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Data Index: 1090822 (C4 (Web Text))
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Text #7
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Data Index: 1408154 (Python Code)
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Text #8
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Data Index: 590655 (C4 (Web Text))
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Text #9
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Data Index: 689602 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #10
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Data Index: 925772 (C4 (Web Text))
Max Activating Token Index: 907
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Text #11
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Data Index: 471457 (C4 (Web Text))
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Text #12
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Data Index: 401740 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #13
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Data Index: 232044 (C4 (Web Text))
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Text #14
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Data Index: 339193 (C4 (Web Text))
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Text #15
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Data Index: 85006 (C4 (Web Text))
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Text #16
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Data Index: 1570866 (Python Code)
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Text #17
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Data Index: 1427661 (Python Code)
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Text #18
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Data Index: 1220520 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #19
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Data Index: 1422237 (Python Code)
Max Activating Token Index: 50
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