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

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

Neuron 4029 in Layer 1

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

Text #0

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Max Act: 0.0342. Min Act: -0.0003

Data Index: 146730 (C4 (Web Text))

Max Activating Token Index: 79

Text #1

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1059234 (C4 (Web Text))

Max Activating Token Index: 799

Text #2

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Max Activating Token Index: 828

Text #3

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Max Act: 0.0242. Min Act: -0.0002

Data Index: 66027 (C4 (Web Text))

Max Activating Token Index: 332

Text #4

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Data Index: 445138 (C4 (Web Text))

Max Activating Token Index: 818

Text #5

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Data Index: 624729 (C4 (Web Text))

Max Activating Token Index: 510

Text #6

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Max Activating Token Index: 186

Text #7

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Max Activating Token Index: 588

Text #8

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Max Activating Token Index: 271

Text #9

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Max Activating Token Index: 630

Text #10

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Max Activating Token Index: 120

Text #11

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Data Index: 85060 (C4 (Web Text))

Max Activating Token Index: 620

Text #12

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Max Activating Token Index: 324

Text #13

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Max Activating Token Index: 321

Text #14

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Max Activating Token Index: 636

Text #15

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Text #16

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Max Activating Token Index: 98

Text #17

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Max Activating Token Index: 425

Text #18

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Max Activating Token Index: 715

Text #19

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Data Index: 984279 (C4 (Web Text))

Max Activating Token Index: 285