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

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

Neuron 4860 in Layer 1

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

Text #0

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 5999 (C4 (Web Text))

Max Activating Token Index: 1

Text #1

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 5553 (C4 (Web Text))

Max Activating Token Index: 1

Text #2

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Data Index: 5187 (C4 (Web Text))

Max Activating Token Index: 1

Text #3

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Max Act: 0.0189. Min Act: -0.0002

Data Index: 1955 (C4 (Web Text))

Max Activating Token Index: 1

Text #4

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 425 (C4 (Web Text))

Max Activating Token Index: 1

Text #5

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 2209 (C4 (Web Text))

Max Activating Token Index: 1

Text #6

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Data Index: 5282 (C4 (Web Text))

Max Activating Token Index: 1

Text #7

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Max Activating Token Index: 1

Text #8

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Data Index: 5437 (C4 (Web Text))

Max Activating Token Index: 1

Text #9

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Data Index: 914 (C4 (Web Text))

Max Activating Token Index: 1

Text #10

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Data Index: 574 (C4 (Web Text))

Max Activating Token Index: 1

Text #11

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Max Activating Token Index: 1

Text #12

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Max Activating Token Index: 1

Text #13

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Data Index: 4026 (C4 (Web Text))

Max Activating Token Index: 1

Text #14

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Data Index: 3619 (C4 (Web Text))

Max Activating Token Index: 1

Text #15

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Max Activating Token Index: 1

Text #16

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Max Activating Token Index: 1

Text #17

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Data Index: 3448 (C4 (Web Text))

Max Activating Token Index: 1

Text #18

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Data Index: 3221 (C4 (Web Text))

Max Activating Token Index: 1

Text #19

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 1315 (C4 (Web Text))

Max Activating Token Index: 1