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

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

Neuron 98 in Layer 0

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

Text #0

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Max Act: 0.0187. Min Act: -0.0002

Data Index: 680142 (C4 (Web Text))

Max Activating Token Index: 240

Text #1

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Max Act: 0.0174. Min Act: -0.0002

Data Index: 70780 (C4 (Web Text))

Max Activating Token Index: 873

Text #2

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1040185 (C4 (Web Text))

Max Activating Token Index: 367

Text #3

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 4356 (C4 (Web Text))

Max Activating Token Index: 339

Text #4

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 21264 (C4 (Web Text))

Max Activating Token Index: 408

Text #5

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 1118478 (C4 (Web Text))

Max Activating Token Index: 120

Text #6

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Max Activating Token Index: 184

Text #7

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Data Index: 613481 (C4 (Web Text))

Max Activating Token Index: 608

Text #8

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Data Index: 1243745 (C4 (Web Text))

Max Activating Token Index: 594

Text #9

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Data Index: 549249 (C4 (Web Text))

Max Activating Token Index: 232

Text #10

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Max Activating Token Index: 594

Text #11

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Data Index: 198998 (C4 (Web Text))

Max Activating Token Index: 710

Text #12

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Max Activating Token Index: 27

Text #13

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Data Index: 706646 (C4 (Web Text))

Max Activating Token Index: 735

Text #14

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Max Activating Token Index: 814

Text #15

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Max Activating Token Index: 537

Text #16

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Max Activating Token Index: 804

Text #17

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Max Activating Token Index: 483

Text #18

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Max Activating Token Index: 780

Text #19

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Data Index: 227068 (C4 (Web Text))

Max Activating Token Index: 393