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

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

Neuron 3946 in Layer 1

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

Text #0

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 885516 (C4 (Web Text))

Max Activating Token Index: 660

Text #1

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Data Index: 102876 (C4 (Web Text))

Max Activating Token Index: 481

Text #2

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Max Act: 0.0198. Min Act: -0.0003

Data Index: 883910 (C4 (Web Text))

Max Activating Token Index: 302

Text #3

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Max Act: 0.0194. Min Act: -0.0002

Data Index: 977092 (C4 (Web Text))

Max Activating Token Index: 244

Text #4

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Data Index: 975972 (C4 (Web Text))

Max Activating Token Index: 695

Text #5

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Data Index: 353400 (C4 (Web Text))

Max Activating Token Index: 620

Text #6

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Max Act: 0.0168. Min Act: -0.0002

Data Index: 850799 (C4 (Web Text))

Max Activating Token Index: 64

Text #7

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Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 709

Text #9

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Max Activating Token Index: 21

Text #10

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Data Index: 96905 (C4 (Web Text))

Max Activating Token Index: 105

Text #11

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Data Index: 747752 (C4 (Web Text))

Max Activating Token Index: 332

Text #12

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Max Activating Token Index: 606

Text #13

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Data Index: 76442 (C4 (Web Text))

Max Activating Token Index: 226

Text #14

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Max Activating Token Index: 621

Text #15

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Max Activating Token Index: 281

Text #16

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Max Activating Token Index: 679

Text #17

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Max Activating Token Index: 469

Text #18

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Max Activating Token Index: 852

Text #19

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Max Act: 0.0168. Min Act: -0.0003

Data Index: 525534 (C4 (Web Text))

Max Activating Token Index: 280