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

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

Neuron 2943 in Layer 1

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

Text #0

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Max Act: 0.0287. Min Act: -0.0003

Data Index: 438179 (C4 (Web Text))

Max Activating Token Index: 97

Text #1

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Max Act: 0.0220. Min Act: -0.0003

Data Index: 174092 (C4 (Web Text))

Max Activating Token Index: 606

Text #2

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 72602 (C4 (Web Text))

Max Activating Token Index: 560

Text #3

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Max Act: 0.0209. Min Act: -0.0003

Data Index: 199069 (C4 (Web Text))

Max Activating Token Index: 787

Text #4

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Data Index: 325919 (C4 (Web Text))

Max Activating Token Index: 312

Text #5

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Max Activating Token Index: 409

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 229

Text #11

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Max Activating Token Index: 411

Text #12

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Max Activating Token Index: 766

Text #13

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Data Index: 594896 (C4 (Web Text))

Max Activating Token Index: 574

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 252384 (C4 (Web Text))

Max Activating Token Index: 372