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

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

Neuron 2482 in Layer 0

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

Text #0

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Max Act: 0.0210. Min Act: -0.0002

Data Index: 13534 (C4 (Web Text))

Max Activating Token Index: 294

Text #1

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Data Index: 351574 (C4 (Web Text))

Max Activating Token Index: 409

Text #2

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 908226 (C4 (Web Text))

Max Activating Token Index: 543

Text #3

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Data Index: 696808 (C4 (Web Text))

Max Activating Token Index: 960

Text #4

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Data Index: 710469 (C4 (Web Text))

Max Activating Token Index: 665

Text #5

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 666588 (C4 (Web Text))

Max Activating Token Index: 166

Text #6

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Data Index: 1254970 (C4 (Web Text))

Max Activating Token Index: 456

Text #7

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Max Activating Token Index: 1002

Text #8

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Max Activating Token Index: 847

Text #9

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Max Activating Token Index: 252

Text #10

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Data Index: 1349634 (C4 (Web Text))

Max Activating Token Index: 176

Text #11

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Data Index: 131156 (C4 (Web Text))

Max Activating Token Index: 999

Text #12

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Data Index: 280417 (C4 (Web Text))

Max Activating Token Index: 539

Text #13

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Data Index: 914384 (C4 (Web Text))

Max Activating Token Index: 1016

Text #14

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Data Index: 549357 (C4 (Web Text))

Max Activating Token Index: 285

Text #15

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Max Activating Token Index: 251

Text #16

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Max Activating Token Index: 920

Text #17

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Max Activating Token Index: 138

Text #18

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Data Index: 147306 (C4 (Web Text))

Max Activating Token Index: 336

Text #19

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Data Index: 129117 (C4 (Web Text))

Max Activating Token Index: 393