Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 838 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 376050 (C4 (Web Text))

Max Activating Token Index: 756

Text #1

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Data Index: 499979 (C4 (Web Text))

Max Activating Token Index: 849

Text #2

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Max Act: 0.0106. Min Act: -0.0006

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Max Activating Token Index: 716

Text #3

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Max Act: 0.0107. Min Act: -0.0006

Data Index: 409930 (C4 (Web Text))

Max Activating Token Index: 252

Text #4

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 8747 (C4 (Web Text))

Max Activating Token Index: 55

Text #5

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 871963 (C4 (Web Text))

Max Activating Token Index: 900

Text #6

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Data Index: 1186705 (C4 (Web Text))

Max Activating Token Index: 748

Text #7

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Data Index: 147621 (C4 (Web Text))

Max Activating Token Index: 746

Text #8

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Max Activating Token Index: 645

Text #9

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Max Activating Token Index: 807

Text #10

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Data Index: 1050994 (C4 (Web Text))

Max Activating Token Index: 696

Text #11

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Data Index: 529930 (C4 (Web Text))

Max Activating Token Index: 985

Text #12

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Data Index: 459829 (C4 (Web Text))

Max Activating Token Index: 868

Text #13

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Max Activating Token Index: 700

Text #14

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Max Activating Token Index: 352

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 811

Text #18

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Max Activating Token Index: 630

Text #19

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Data Index: 744971 (C4 (Web Text))

Max Activating Token Index: 985