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

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

Neuron 3033 in Layer 0

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

Text #0

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Max Act: 0.0002. Min Act: -0.0002

Data Index: 1271066 (C4 (Web Text))

Max Activating Token Index: 756

Text #1

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Data Index: 756982 (C4 (Web Text))

Max Activating Token Index: 796

Text #2

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Data Index: 718032 (C4 (Web Text))

Max Activating Token Index: 796

Text #3

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Data Index: 401516 (C4 (Web Text))

Max Activating Token Index: 736

Text #4

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Data Index: 1284450 (C4 (Web Text))

Max Activating Token Index: 766

Text #5

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Data Index: 816921 (C4 (Web Text))

Max Activating Token Index: 823

Text #6

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Data Index: 573013 (C4 (Web Text))

Max Activating Token Index: 739

Text #7

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Data Index: 223304 (C4 (Web Text))

Max Activating Token Index: 835

Text #8

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Data Index: 568569 (C4 (Web Text))

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Text #9

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Data Index: 792589 (C4 (Web Text))

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Text #10

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Data Index: 504495 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1243120 (C4 (Web Text))

Max Activating Token Index: 724

Text #13

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Data Index: 772714 (C4 (Web Text))

Max Activating Token Index: 814

Text #14

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Data Index: 688981 (C4 (Web Text))

Max Activating Token Index: 727

Text #15

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Data Index: 112799 (C4 (Web Text))

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Text #16

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Data Index: 558027 (C4 (Web Text))

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Text #17

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Data Index: 189906 (C4 (Web Text))

Max Activating Token Index: 814

Text #18

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Data Index: 582267 (C4 (Web Text))

Max Activating Token Index: 764

Text #19

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Data Index: 1282180 (C4 (Web Text))

Max Activating Token Index: 957