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

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

Neuron 2375 in Layer 2

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

Text #0

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 1116246 (C4 (Web Text))

Max Activating Token Index: 287

Text #1

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 323739 (C4 (Web Text))

Max Activating Token Index: 304

Text #2

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Max Act: 0.0277. Min Act: -0.0002

Data Index: 322393 (C4 (Web Text))

Max Activating Token Index: 296

Text #3

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Max Act: 0.0259. Min Act: -0.0002

Data Index: 354205 (C4 (Web Text))

Max Activating Token Index: 161

Text #4

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 1138006 (C4 (Web Text))

Max Activating Token Index: 356

Text #5

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Max Act: 0.0242. Min Act: -0.0002

Data Index: 873845 (C4 (Web Text))

Max Activating Token Index: 827

Text #6

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Data Index: 706656 (C4 (Web Text))

Max Activating Token Index: 291

Text #7

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Data Index: 79937 (C4 (Web Text))

Max Activating Token Index: 277

Text #8

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Data Index: 999899 (C4 (Web Text))

Max Activating Token Index: 580

Text #9

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Data Index: 633872 (C4 (Web Text))

Max Activating Token Index: 440

Text #10

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Data Index: 200329 (C4 (Web Text))

Max Activating Token Index: 358

Text #11

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Data Index: 1231709 (C4 (Web Text))

Max Activating Token Index: 473

Text #12

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Data Index: 493071 (C4 (Web Text))

Max Activating Token Index: 434

Text #13

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Data Index: 535028 (C4 (Web Text))

Max Activating Token Index: 600

Text #14

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Data Index: 813554 (C4 (Web Text))

Max Activating Token Index: 250

Text #15

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Max Activating Token Index: 164

Text #16

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Max Activating Token Index: 348

Text #17

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Max Activating Token Index: 747

Text #18

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Data Index: 93395 (C4 (Web Text))

Max Activating Token Index: 302

Text #19

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Max Act: 0.0215. Min Act: -0.0002

Data Index: 610635 (C4 (Web Text))

Max Activating Token Index: 800