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

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

Neuron 10 in Layer 1

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

Text #0

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Max Act: 0.0340. Min Act: -0.0002

Data Index: 1210850 (C4 (Web Text))

Max Activating Token Index: 69

Text #1

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Max Act: 0.0331. Min Act: -0.0002

Data Index: 591595 (C4 (Web Text))

Max Activating Token Index: 52

Text #2

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Data Index: 599993 (C4 (Web Text))

Max Activating Token Index: 897

Text #3

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 61290 (C4 (Web Text))

Max Activating Token Index: 190

Text #4

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Data Index: 1150760 (C4 (Web Text))

Max Activating Token Index: 174

Text #5

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Max Activating Token Index: 787

Text #6

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Max Activating Token Index: 995

Text #7

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Max Activating Token Index: 806

Text #8

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Max Activating Token Index: 553

Text #9

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Max Activating Token Index: 924

Text #10

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Max Activating Token Index: 639

Text #11

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Max Activating Token Index: 752

Text #12

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Max Activating Token Index: 243

Text #13

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Max Activating Token Index: 656

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 612

Text #17

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Max Activating Token Index: 240

Text #18

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Max Activating Token Index: 142

Text #19

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Data Index: 1255 (C4 (Web Text))

Max Activating Token Index: 959