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

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

Neuron 1060 in Layer 1

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

Text #0

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Max Act: 0.0160. Min Act: -0.0006

Data Index: 650533 (C4 (Web Text))

Max Activating Token Index: 484

Text #1

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Max Act: 0.0152. Min Act: -0.0006

Data Index: 501949 (C4 (Web Text))

Max Activating Token Index: 446

Text #2

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Max Act: 0.0154. Min Act: -0.0006

Data Index: 584751 (C4 (Web Text))

Max Activating Token Index: 663

Text #3

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Max Act: 0.0164. Min Act: -0.0006

Data Index: 194556 (C4 (Web Text))

Max Activating Token Index: 468

Text #4

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Max Act: 0.0150. Min Act: -0.0006

Data Index: 1147644 (C4 (Web Text))

Max Activating Token Index: 710

Text #5

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Max Act: 0.0149. Min Act: -0.0006

Data Index: 611203 (C4 (Web Text))

Max Activating Token Index: 577

Text #6

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Data Index: 882742 (C4 (Web Text))

Max Activating Token Index: 667

Text #7

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Max Activating Token Index: 209

Text #8

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Max Activating Token Index: 628

Text #9

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Data Index: 531019 (C4 (Web Text))

Max Activating Token Index: 145

Text #10

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Max Activating Token Index: 417

Text #11

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Data Index: 193280 (C4 (Web Text))

Max Activating Token Index: 751

Text #12

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Max Activating Token Index: 683

Text #13

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Data Index: 227456 (C4 (Web Text))

Max Activating Token Index: 662

Text #14

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Data Index: 1125121 (C4 (Web Text))

Max Activating Token Index: 174

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 1016

Text #18

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Data Index: 290907 (C4 (Web Text))

Max Activating Token Index: 331

Text #19

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Data Index: 330868 (C4 (Web Text))

Max Activating Token Index: 466