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

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

Neuron 2893 in Layer 2

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

Text #0

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Max Act: 0.0730. Min Act: -0.0002

Data Index: 663754 (C4 (Web Text))

Max Activating Token Index: 49

Text #1

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Data Index: 1061974 (C4 (Web Text))

Max Activating Token Index: 208

Text #2

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Data Index: 190818 (C4 (Web Text))

Max Activating Token Index: 855

Text #3

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Max Act: 0.0537. Min Act: -0.0002

Data Index: 975125 (C4 (Web Text))

Max Activating Token Index: 185

Text #4

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Data Index: 1211900 (C4 (Web Text))

Max Activating Token Index: 311

Text #5

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Max Activating Token Index: 679

Text #6

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Max Activating Token Index: 632

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Text #9

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Data Index: 700881 (C4 (Web Text))

Max Activating Token Index: 379

Text #10

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Max Activating Token Index: 130

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Max Activating Token Index: 325

Text #12

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Max Activating Token Index: 933

Text #13

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Max Activating Token Index: 779

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: 84

Text #18

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Text #19

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Data Index: 1351203 (C4 (Web Text))

Max Activating Token Index: 304