Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 100 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0190. Min Act: -0.0003

Data Index: 994486 (C4 (Web Text))

Max Activating Token Index: 493

Text #1

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Max Activating Token Index: 504

Text #2

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Max Act: 0.0190. Min Act: -0.0003

Data Index: 1320809 (C4 (Web Text))

Max Activating Token Index: 983

Text #3

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Max Act: 0.0196. Min Act: -0.0003

Data Index: 939722 (C4 (Web Text))

Max Activating Token Index: 481

Text #4

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Max Activating Token Index: 673

Text #5

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Max Activating Token Index: 372

Text #6

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Max Activating Token Index: 320

Text #7

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Max Activating Token Index: 156

Text #8

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Max Activating Token Index: 694

Text #9

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Max Activating Token Index: 84

Text #10

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Max Activating Token Index: 521

Text #11

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Max Activating Token Index: 915

Text #12

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Max Activating Token Index: 763

Text #13

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Max Activating Token Index: 613

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 109

Text #18

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Text #19

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Data Index: 1202241 (C4 (Web Text))

Max Activating Token Index: 34