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

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

Neuron 2236 in Layer 0

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

Text #0

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Max Act: 0.0559. Min Act: -0.0002

Data Index: 183828 (C4 (Web Text))

Max Activating Token Index: 204

Text #1

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Max Activating Token Index: 215

Text #2

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Max Act: 0.0500. Min Act: -0.0002

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Max Activating Token Index: 455

Text #3

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Data Index: 885894 (C4 (Web Text))

Max Activating Token Index: 251

Text #4

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Max Activating Token Index: 938

Text #5

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Max Activating Token Index: 375

Text #6

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Data Index: 800070 (C4 (Web Text))

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 170

Text #10

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Data Index: 355456 (C4 (Web Text))

Max Activating Token Index: 420

Text #11

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Max Activating Token Index: 470

Text #12

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Max Activating Token Index: 859

Text #13

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Max Activating Token Index: 716

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: 419

Text #18

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Max Activating Token Index: 515

Text #19

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Data Index: 1322723 (C4 (Web Text))

Max Activating Token Index: 352