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

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

Neuron 716 in Layer 0

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

Text #0

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Max Act: 0.1761. Min Act: -0.0002

Data Index: 806951 (C4 (Web Text))

Max Activating Token Index: 816

Text #1

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Max Activating Token Index: 41

Text #2

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Max Activating Token Index: 949

Text #3

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Data Index: 901270 (C4 (Web Text))

Max Activating Token Index: 501

Text #4

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Data Index: 808910 (C4 (Web Text))

Max Activating Token Index: 541

Text #5

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Data Index: 402917 (C4 (Web Text))

Max Activating Token Index: 320

Text #6

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Max Activating Token Index: 471

Text #7

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Text #8

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Max Activating Token Index: 36

Text #9

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Max Activating Token Index: 248

Text #10

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Max Activating Token Index: 817

Text #11

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Max Activating Token Index: 668

Text #12

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Max Activating Token Index: 310

Text #13

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Max Activating Token Index: 653

Text #14

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Max Activating Token Index: 827

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 454

Text #19

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Data Index: 595206 (C4 (Web Text))

Max Activating Token Index: 386