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

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

Neuron 4080 in Layer 1

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

Text #0

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Max Act: 0.0204. Min Act: -0.0003

Data Index: 1219291 (C4 (Web Text))

Max Activating Token Index: 660

Text #1

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Max Act: 0.0187. Min Act: -0.0002

Data Index: 826635 (C4 (Web Text))

Max Activating Token Index: 56

Text #2

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Max Act: 0.0178. Min Act: -0.0003

Data Index: 862911 (C4 (Web Text))

Max Activating Token Index: 153

Text #3

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Max Act: 0.0168. Min Act: -0.0003

Data Index: 698217 (C4 (Web Text))

Max Activating Token Index: 7

Text #4

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 111880 (C4 (Web Text))

Max Activating Token Index: 790

Text #5

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 318704 (C4 (Web Text))

Max Activating Token Index: 735

Text #6

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 655183 (C4 (Web Text))

Max Activating Token Index: 504

Text #7

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Data Index: 560890 (C4 (Web Text))

Max Activating Token Index: 277

Text #8

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Data Index: 1164942 (C4 (Web Text))

Max Activating Token Index: 192

Text #9

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Data Index: 1185116 (C4 (Web Text))

Max Activating Token Index: 32

Text #10

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Max Activating Token Index: 1013

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Data Index: 478390 (C4 (Web Text))

Max Activating Token Index: 627

Text #12

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Data Index: 699766 (C4 (Web Text))

Max Activating Token Index: 424

Text #13

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Data Index: 813032 (C4 (Web Text))

Max Activating Token Index: 487

Text #14

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Data Index: 313208 (C4 (Web Text))

Max Activating Token Index: 434

Text #15

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Max Activating Token Index: 48

Text #16

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Max Activating Token Index: 335

Text #17

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Max Activating Token Index: 781

Text #18

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Data Index: 351557 (C4 (Web Text))

Max Activating Token Index: 368

Text #19

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Data Index: 1016295 (C4 (Web Text))

Max Activating Token Index: 58