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

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

Neuron 869 in Layer 2

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

Text #0

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Max Act: 0.0830. Min Act: -0.0002

Data Index: 6211 (C4 (Web Text))

Max Activating Token Index: 627

Text #1

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Max Activating Token Index: 151

Text #2

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Max Act: 0.0750. Min Act: -0.0002

Data Index: 270435 (C4 (Web Text))

Max Activating Token Index: 519

Text #3

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Max Act: 0.0679. Min Act: -0.0002

Data Index: 76844 (C4 (Web Text))

Max Activating Token Index: 322

Text #4

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Data Index: 950668 (C4 (Web Text))

Max Activating Token Index: 369

Text #5

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Data Index: 661311 (C4 (Web Text))

Max Activating Token Index: 421

Text #6

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Text #9

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Max Activating Token Index: 449

Text #10

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Text #12

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Max Activating Token Index: 22

Text #13

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Max Activating Token Index: 868

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: 391

Text #18

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Text #19

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Data Index: 78382 (C4 (Web Text))

Max Activating Token Index: 118