Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2094 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0194. Min Act: -0.0003

Data Index: 763127 (C4 (Web Text))

Max Activating Token Index: 738

Text #1

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Max Act: 0.0184. Min Act: -0.0003

Data Index: 833922 (C4 (Web Text))

Max Activating Token Index: 139

Text #2

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Max Act: 0.0179. Min Act: -0.0003

Data Index: 110875 (C4 (Web Text))

Max Activating Token Index: 345

Text #3

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Max Act: 0.0178. Min Act: -0.0003

Data Index: 310308 (C4 (Web Text))

Max Activating Token Index: 537

Text #4

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Max Act: 0.0181. Min Act: -0.0003

Data Index: 642517 (C4 (Web Text))

Max Activating Token Index: 891

Text #5

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Max Act: 0.0175. Min Act: -0.0004

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Max Activating Token Index: 165

Text #6

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Max Act: 0.0175. Min Act: -0.0003

Data Index: 430213 (C4 (Web Text))

Max Activating Token Index: 667

Text #7

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Max Activating Token Index: 870

Text #8

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Max Activating Token Index: 699

Text #9

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Max Activating Token Index: 762

Text #10

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Data Index: 1106022 (C4 (Web Text))

Max Activating Token Index: 370

Text #11

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Max Activating Token Index: 219

Text #12

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Max Activating Token Index: 198

Text #13

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Data Index: 470796 (C4 (Web Text))

Max Activating Token Index: 535

Text #14

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Data Index: 1034950 (C4 (Web Text))

Max Activating Token Index: 199

Text #15

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Max Activating Token Index: 166

Text #16

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Max Activating Token Index: 241

Text #17

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Max Activating Token Index: 504

Text #18

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Max Activating Token Index: 402

Text #19

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Data Index: 624528 (C4 (Web Text))

Max Activating Token Index: 327