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

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

Neuron 1787 in Layer 0

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

Text #0

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Max Act: 0.0322. Min Act: -0.0002

Data Index: 1104783 (C4 (Web Text))

Max Activating Token Index: 283

Text #1

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 834124 (C4 (Web Text))

Max Activating Token Index: 38

Text #2

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Max Act: 0.0294. Min Act: -0.0002

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Max Activating Token Index: 628

Text #3

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 1062831 (C4 (Web Text))

Max Activating Token Index: 184

Text #4

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Data Index: 220364 (C4 (Web Text))

Max Activating Token Index: 276

Text #5

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Data Index: 626048 (C4 (Web Text))

Max Activating Token Index: 538

Text #6

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Max Activating Token Index: 414

Text #7

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Text #8

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Max Activating Token Index: 167

Text #9

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Max Activating Token Index: 240

Text #10

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Data Index: 38824 (C4 (Web Text))

Max Activating Token Index: 303

Text #11

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Max Activating Token Index: 118

Text #12

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Max Activating Token Index: 691

Text #13

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Data Index: 74758 (C4 (Web Text))

Max Activating Token Index: 339

Text #14

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Data Index: 924597 (C4 (Web Text))

Max Activating Token Index: 992

Text #15

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Max Activating Token Index: 661

Text #16

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Max Activating Token Index: 736

Text #17

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Max Activating Token Index: 52

Text #18

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Data Index: 242402 (C4 (Web Text))

Max Activating Token Index: 397

Text #19

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Data Index: 50158 (C4 (Web Text))

Max Activating Token Index: 210