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

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

Neuron 2652 in Layer 0

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

Text #0

Max Range: 0.0325. Min Range: -0.0325

Max Act: 0.0325. Min Act: -0.0002

Data Index: 1117278 (C4 (Web Text))

Max Activating Token Index: 2

Text #1

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Max Act: 0.0325. Min Act: -0.0003

Data Index: 401903 (C4 (Web Text))

Max Activating Token Index: 2

Text #2

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Max Act: 0.0295. Min Act: -0.0003

Data Index: 851608 (C4 (Web Text))

Max Activating Token Index: 2

Text #3

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Max Act: 0.0293. Min Act: -0.0002

Data Index: 82859 (C4 (Web Text))

Max Activating Token Index: 2

Text #4

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Max Act: 0.0291. Min Act: -0.0003

Data Index: 580553 (C4 (Web Text))

Max Activating Token Index: 2

Text #5

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Max Act: 0.0291. Min Act: -0.0003

Data Index: 406221 (C4 (Web Text))

Max Activating Token Index: 2

Text #6

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Data Index: 389168 (C4 (Web Text))

Max Activating Token Index: 2

Text #7

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Data Index: 19629 (C4 (Web Text))

Max Activating Token Index: 3

Text #8

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Data Index: 166370 (C4 (Web Text))

Max Activating Token Index: 4

Text #9

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Data Index: 576533 (C4 (Web Text))

Max Activating Token Index: 3

Text #10

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Max Activating Token Index: 3

Text #11

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Data Index: 149008 (C4 (Web Text))

Max Activating Token Index: 4

Text #12

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Data Index: 744265 (C4 (Web Text))

Max Activating Token Index: 3

Text #13

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Data Index: 1085449 (C4 (Web Text))

Max Activating Token Index: 3

Text #14

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Data Index: 999023 (C4 (Web Text))

Max Activating Token Index: 3

Text #15

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Max Activating Token Index: 3

Text #16

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Max Activating Token Index: 4

Text #17

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Max Activating Token Index: 3

Text #18

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Max Activating Token Index: 5

Text #19

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Max Act: 0.0256. Min Act: -0.0002

Data Index: 140488 (C4 (Web Text))

Max Activating Token Index: 3