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

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

Neuron 208 in Layer 9

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

Text #0

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Max Act: 0.3942. Min Act: -0.0000

Data Index: 432326 (C4 (Web Text))

Max Activating Token Index: 218

Text #1

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Max Act: 0.3987. Min Act: -0.0000

Data Index: 1492393 (Python Code)

Max Activating Token Index: 945

Text #2

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Data Index: 74750 (C4 (Web Text))

Max Activating Token Index: 879

Text #3

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Max Act: 0.3370. Min Act: -0.0000

Data Index: 896620 (C4 (Web Text))

Max Activating Token Index: 971

Text #4

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Data Index: 43995 (C4 (Web Text))

Max Activating Token Index: 353

Text #5

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Data Index: 381463 (C4 (Web Text))

Max Activating Token Index: 594

Text #6

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Max Activating Token Index: 317

Text #9

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Max Activating Token Index: 98

Text #10

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Text #11

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Data Index: 702752 (C4 (Web Text))

Max Activating Token Index: 402

Text #12

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Max Activating Token Index: 923

Text #13

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Max Activating Token Index: 826

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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Max Activating Token Index: 588

Text #19

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Data Index: 1047706 (C4 (Web Text))

Max Activating Token Index: 447