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

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

Neuron 155 in Layer 1

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

Text #0

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Max Act: 0.0244. Min Act: -0.0002

Data Index: 284371 (C4 (Web Text))

Max Activating Token Index: 401

Text #1

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Data Index: 886720 (C4 (Web Text))

Max Activating Token Index: 539

Text #2

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Max Act: 0.0226. Min Act: -0.0002

Data Index: 459142 (C4 (Web Text))

Max Activating Token Index: 358

Text #3

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Data Index: 1178575 (C4 (Web Text))

Max Activating Token Index: 443

Text #4

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Data Index: 76355 (C4 (Web Text))

Max Activating Token Index: 515

Text #5

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Data Index: 104570 (C4 (Web Text))

Max Activating Token Index: 276

Text #6

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Max Activating Token Index: 252

Text #7

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Max Activating Token Index: 215

Text #8

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Data Index: 221731 (C4 (Web Text))

Max Activating Token Index: 87

Text #9

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Max Activating Token Index: 538

Text #10

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Text #11

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Max Activating Token Index: 245

Text #12

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Max Activating Token Index: 296

Text #13

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Max Activating Token Index: 123

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 24

Text #17

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Max Activating Token Index: 649

Text #18

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Max Activating Token Index: 61

Text #19

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Data Index: 478845 (C4 (Web Text))

Max Activating Token Index: 261