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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1625 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0629. Min Act: -0.0005

Data Index: 1612860 (Python Code)

Max Activating Token Index: 236

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Text #1

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Max Act: 0.0489. Min Act: -0.0005

Data Index: 1437924 (Python Code)

Max Activating Token Index: 698

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Text #2

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Max Act: 0.0257. Min Act: -0.0005

Data Index: 37334 (C4 (Web Text))

Max Activating Token Index: 911

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Text #3

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Max Act: 0.0229. Min Act: -0.0005

Data Index: 866008 (C4 (Web Text))

Max Activating Token Index: 923

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Text #4

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Max Act: 0.0230. Min Act: -0.0005

Data Index: 1036966 (C4 (Web Text))

Max Activating Token Index: 839

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Text #5

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Data Index: 682853 (C4 (Web Text))

Max Activating Token Index: 455

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Text #6

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Data Index: 1026769 (C4 (Web Text))

Max Activating Token Index: 974

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Text #7

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Data Index: 1292886 (C4 (Web Text))

Max Activating Token Index: 601

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Text #8

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Data Index: 540603 (C4 (Web Text))

Max Activating Token Index: 906

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Text #9

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Data Index: 903145 (C4 (Web Text))

Max Activating Token Index: 1015

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Text #10

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Data Index: 1044568 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #11

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Data Index: 663217 (C4 (Web Text))

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Text #12

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Data Index: 733849 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #13

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Data Index: 509546 (C4 (Web Text))

Max Activating Token Index: 985

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Text #14

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Data Index: 609786 (C4 (Web Text))

Max Activating Token Index: 556

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Text #15

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Data Index: 761491 (C4 (Web Text))

Max Activating Token Index: 349

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Text #16

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Data Index: 1158643 (C4 (Web Text))

Max Activating Token Index: 554

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Text #17

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Max Act: 0.0180. Min Act: -0.0005

Data Index: 159593 (C4 (Web Text))

Max Activating Token Index: 617

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Text #18

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Max Act: 0.0176. Min Act: -0.0005

Data Index: 342372 (C4 (Web Text))

Max Activating Token Index: 827

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Text #19

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Max Act: 0.0179. Min Act: -0.0005

Data Index: 615430 (C4 (Web Text))

Max Activating Token Index: 942

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