Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1502 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0211. Min Act: -0.0002

Data Index: 1504722 (Python Code)

Max Activating Token Index: 495

Text #1

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Max Act: 0.0180. Min Act: -0.0002

Data Index: 313962 (C4 (Web Text))

Max Activating Token Index: 926

Text #2

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 190633 (C4 (Web Text))

Max Activating Token Index: 732

Text #3

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 1278955 (C4 (Web Text))

Max Activating Token Index: 743

Text #4

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Max Act: 0.0185. Min Act: -0.0002

Data Index: 856211 (C4 (Web Text))

Max Activating Token Index: 955

Text #5

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1369765 (Python Code)

Max Activating Token Index: 626

Text #6

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Data Index: 1564296 (Python Code)

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Text #7

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Data Index: 1410930 (Python Code)

Max Activating Token Index: 146

Text #8

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Data Index: 1416414 (Python Code)

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Text #9

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Data Index: 1422556 (Python Code)

Max Activating Token Index: 452

Text #10

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Data Index: 1607729 (Python Code)

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Text #11

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Max Activating Token Index: 899

Text #12

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Data Index: 328285 (C4 (Web Text))

Max Activating Token Index: 1023

Text #13

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Data Index: 436177 (C4 (Web Text))

Max Activating Token Index: 359

Text #14

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Data Index: 427997 (C4 (Web Text))

Max Activating Token Index: 346

Text #15

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Max Activating Token Index: 818

Text #16

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Max Activating Token Index: 589

Text #17

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Data Index: 199572 (C4 (Web Text))

Max Activating Token Index: 934

Text #18

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Data Index: 860561 (C4 (Web Text))

Max Activating Token Index: 192

Text #19

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Max Act: 0.0152. Min Act: -0.0002

Data Index: 312633 (C4 (Web Text))

Max Activating Token Index: 724