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

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

Neuron 2727 in Layer 2

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

Text #0

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 494013 (C4 (Web Text))

Max Activating Token Index: 238

Text #1

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 855410 (C4 (Web Text))

Max Activating Token Index: 344

Text #2

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Max Act: 0.0401. Min Act: -0.0002

Data Index: 581527 (C4 (Web Text))

Max Activating Token Index: 234

Text #3

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Max Act: 0.0405. Min Act: -0.0002

Data Index: 412388 (C4 (Web Text))

Max Activating Token Index: 407

Text #4

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 290364 (C4 (Web Text))

Max Activating Token Index: 402

Text #5

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Max Act: 0.0418. Min Act: -0.0002

Data Index: 372206 (C4 (Web Text))

Max Activating Token Index: 410

Text #6

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Data Index: 673444 (C4 (Web Text))

Max Activating Token Index: 301

Text #7

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Max Activating Token Index: 189

Text #8

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Data Index: 514592 (C4 (Web Text))

Max Activating Token Index: 447

Text #9

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Max Activating Token Index: 117

Text #10

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Max Activating Token Index: 377

Text #11

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Data Index: 651334 (C4 (Web Text))

Max Activating Token Index: 283

Text #12

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Data Index: 331941 (C4 (Web Text))

Max Activating Token Index: 635

Text #13

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Max Activating Token Index: 688

Text #14

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Max Activating Token Index: 37

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 420

Text #18

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Data Index: 572535 (C4 (Web Text))

Max Activating Token Index: 72

Text #19

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Data Index: 88337 (C4 (Web Text))

Max Activating Token Index: 81