Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 899 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0243. Min Act: -0.0003

Data Index: 856446 (C4 (Web Text))

Max Activating Token Index: 280

Text #1

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 77287 (C4 (Web Text))

Max Activating Token Index: 232

Text #2

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1185037 (C4 (Web Text))

Max Activating Token Index: 870

Text #3

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Max Act: 0.0176. Min Act: -0.0003

Data Index: 219434 (C4 (Web Text))

Max Activating Token Index: 102

Text #4

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Data Index: 381547 (C4 (Web Text))

Max Activating Token Index: 986

Text #5

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Data Index: 1251523 (C4 (Web Text))

Max Activating Token Index: 752

Text #6

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Data Index: 41257 (C4 (Web Text))

Max Activating Token Index: 174

Text #7

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Data Index: 950755 (C4 (Web Text))

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Text #8

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Max Activating Token Index: 812

Text #9

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Max Activating Token Index: 958

Text #10

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Data Index: 25486 (C4 (Web Text))

Max Activating Token Index: 701

Text #11

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Data Index: 651185 (C4 (Web Text))

Max Activating Token Index: 613

Text #12

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Max Activating Token Index: 237

Text #13

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Data Index: 911131 (C4 (Web Text))

Max Activating Token Index: 78

Text #14

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Data Index: 525493 (C4 (Web Text))

Max Activating Token Index: 351

Text #15

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Max Activating Token Index: 537

Text #16

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Max Activating Token Index: 409

Text #17

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Max Activating Token Index: 285

Text #18

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Data Index: 49367 (C4 (Web Text))

Max Activating Token Index: 58

Text #19

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Data Index: 747954 (C4 (Web Text))

Max Activating Token Index: 515