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

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

Neuron 590 in Layer 0

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

Text #0

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Max Act: 0.0339. Min Act: -0.0002

Data Index: 439562 (C4 (Web Text))

Max Activating Token Index: 13

Text #1

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Max Act: 0.0312. Min Act: -0.0002

Data Index: 1093298 (C4 (Web Text))

Max Activating Token Index: 691

Text #2

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Max Act: 0.0316. Min Act: -0.0002

Data Index: 1213974 (C4 (Web Text))

Max Activating Token Index: 71

Text #3

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Max Act: 0.0311. Min Act: -0.0002

Data Index: 520132 (C4 (Web Text))

Max Activating Token Index: 919

Text #4

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Data Index: 910771 (C4 (Web Text))

Max Activating Token Index: 981

Text #5

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Max Act: 0.0294. Min Act: -0.0002

Data Index: 862880 (C4 (Web Text))

Max Activating Token Index: 13

Text #6

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Max Activating Token Index: 968

Text #7

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Max Activating Token Index: 885

Text #8

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Max Activating Token Index: 118

Text #9

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Data Index: 165850 (C4 (Web Text))

Max Activating Token Index: 610

Text #10

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Data Index: 278120 (C4 (Web Text))

Max Activating Token Index: 51

Text #11

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Data Index: 94993 (C4 (Web Text))

Max Activating Token Index: 636

Text #12

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Max Activating Token Index: 815

Text #13

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Data Index: 78173 (C4 (Web Text))

Max Activating Token Index: 21

Text #14

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Data Index: 339334 (C4 (Web Text))

Max Activating Token Index: 169

Text #15

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Max Activating Token Index: 32

Text #16

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Max Activating Token Index: 798

Text #17

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Max Activating Token Index: 187

Text #18

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Data Index: 200459 (C4 (Web Text))

Max Activating Token Index: 298

Text #19

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Max Act: 0.0269. Min Act: -0.0002

Data Index: 636095 (C4 (Web Text))

Max Activating Token Index: 988