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

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

Neuron 910 in Layer 2

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

Text #0

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Max Act: 0.0396. Min Act: -0.0002

Data Index: 612719 (C4 (Web Text))

Max Activating Token Index: 270

Text #1

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 139840 (C4 (Web Text))

Max Activating Token Index: 348

Text #2

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Max Act: 0.0370. Min Act: -0.0002

Data Index: 351734 (C4 (Web Text))

Max Activating Token Index: 496

Text #3

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Max Act: 0.0343. Min Act: -0.0002

Data Index: 525348 (C4 (Web Text))

Max Activating Token Index: 264

Text #4

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Data Index: 1158395 (C4 (Web Text))

Max Activating Token Index: 295

Text #5

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Data Index: 257117 (C4 (Web Text))

Max Activating Token Index: 104

Text #6

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Data Index: 347683 (C4 (Web Text))

Max Activating Token Index: 725

Text #7

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Max Activating Token Index: 251

Text #8

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Data Index: 365175 (C4 (Web Text))

Max Activating Token Index: 600

Text #9

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Max Activating Token Index: 437

Text #10

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Max Activating Token Index: 140

Text #11

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Data Index: 398745 (C4 (Web Text))

Max Activating Token Index: 259

Text #12

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Data Index: 883243 (C4 (Web Text))

Max Activating Token Index: 378

Text #13

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Max Activating Token Index: 825

Text #14

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Max Activating Token Index: 274

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 494

Text #18

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Text #19

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Data Index: 897032 (C4 (Web Text))

Max Activating Token Index: 520