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

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

Neuron 4189 in Layer 0

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

Text #0

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 1024725 (C4 (Web Text))

Max Activating Token Index: 32

Text #1

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 1179358 (C4 (Web Text))

Max Activating Token Index: 78

Text #2

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Max Act: 0.0138. Min Act: -0.0002

Data Index: 94008 (C4 (Web Text))

Max Activating Token Index: 262

Text #3

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 219854 (C4 (Web Text))

Max Activating Token Index: 86

Text #4

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Max Act: 0.0136. Min Act: -0.0002

Data Index: 589202 (C4 (Web Text))

Max Activating Token Index: 30

Text #5

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Max Act: 0.0138. Min Act: -0.0002

Data Index: 487995 (C4 (Web Text))

Max Activating Token Index: 25

Text #6

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Data Index: 931301 (C4 (Web Text))

Max Activating Token Index: 31

Text #7

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Data Index: 957071 (C4 (Web Text))

Max Activating Token Index: 262

Text #8

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Max Activating Token Index: 690

Text #9

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Data Index: 224558 (C4 (Web Text))

Max Activating Token Index: 193

Text #10

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Max Activating Token Index: 6

Text #11

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Max Activating Token Index: 289

Text #12

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Max Activating Token Index: 39

Text #13

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Data Index: 13226 (C4 (Web Text))

Max Activating Token Index: 758

Text #14

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Data Index: 458564 (C4 (Web Text))

Max Activating Token Index: 437

Text #15

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Text #16

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Max Activating Token Index: 383

Text #17

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Max Activating Token Index: 84

Text #18

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Data Index: 393573 (C4 (Web Text))

Max Activating Token Index: 498

Text #19

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Data Index: 1345039 (C4 (Web Text))

Max Activating Token Index: 341