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

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

Neuron 2086 in Layer 1

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

Text #0

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Max Act: 0.0450. Min Act: -0.0003

Data Index: 160430 (C4 (Web Text))

Max Activating Token Index: 9

Text #1

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Max Act: 0.0398. Min Act: -0.0003

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Max Activating Token Index: 44

Text #2

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Max Act: 0.0345. Min Act: -0.0003

Data Index: 510498 (C4 (Web Text))

Max Activating Token Index: 592

Text #3

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Max Act: 0.0328. Min Act: -0.0003

Data Index: 691652 (C4 (Web Text))

Max Activating Token Index: 895

Text #4

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Data Index: 66400 (C4 (Web Text))

Max Activating Token Index: 283

Text #5

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Max Act: 0.0324. Min Act: -0.0003

Data Index: 265701 (C4 (Web Text))

Max Activating Token Index: 657

Text #6

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Max Activating Token Index: 287

Text #7

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Max Activating Token Index: 707

Text #8

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Text #9

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Max Activating Token Index: 188

Text #10

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Max Activating Token Index: 756

Text #11

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Max Activating Token Index: 276

Text #12

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Text #13

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Max Activating Token Index: 78

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: 962

Text #18

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Max Activating Token Index: 52

Text #19

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Data Index: 463149 (C4 (Web Text))

Max Activating Token Index: 60