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

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

Neuron 2999 in Layer 2

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

Text #0

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 654849 (C4 (Web Text))

Max Activating Token Index: 151

Text #1

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Max Act: 0.0184. Min Act: -0.0002

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Max Activating Token Index: 615

Text #2

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 155888 (C4 (Web Text))

Max Activating Token Index: 573

Text #3

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 683219 (C4 (Web Text))

Max Activating Token Index: 57

Text #4

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 84602 (C4 (Web Text))

Max Activating Token Index: 745

Text #5

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Max Activating Token Index: 362

Text #6

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Text #7

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Max Activating Token Index: 193

Text #8

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Max Activating Token Index: 597

Text #9

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Max Activating Token Index: 743

Text #10

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Max Activating Token Index: 197

Text #11

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Max Activating Token Index: 976

Text #12

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Max Activating Token Index: 303

Text #13

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Data Index: 1004284 (C4 (Web Text))

Max Activating Token Index: 606

Text #14

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Data Index: 475366 (C4 (Web Text))

Max Activating Token Index: 311

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 651

Text #18

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Data Index: 49422 (C4 (Web Text))

Max Activating Token Index: 36

Text #19

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Data Index: 1165256 (C4 (Web Text))

Max Activating Token Index: 119