Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 386 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0316. Min Act: -0.0005

Data Index: 348752 (C4 (Web Text))

Max Activating Token Index: 658

Text #1

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Max Act: 0.0289. Min Act: -0.0005

Data Index: 961947 (C4 (Web Text))

Max Activating Token Index: 501

Text #2

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Max Act: 0.0259. Min Act: -0.0005

Data Index: 1181899 (C4 (Web Text))

Max Activating Token Index: 1012

Text #3

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Max Act: 0.0281. Min Act: -0.0005

Data Index: 148678 (C4 (Web Text))

Max Activating Token Index: 766

Text #4

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Data Index: 1034927 (C4 (Web Text))

Max Activating Token Index: 634

Text #5

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Data Index: 351600 (C4 (Web Text))

Max Activating Token Index: 70

Text #6

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Max Activating Token Index: 936

Text #7

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Max Activating Token Index: 376

Text #8

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Max Activating Token Index: 640

Text #9

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Max Activating Token Index: 623

Text #10

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Max Activating Token Index: 572

Text #11

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Max Activating Token Index: 626

Text #12

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Max Activating Token Index: 490

Text #13

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Max Activating Token Index: 579

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 497

Text #17

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Max Activating Token Index: 475

Text #18

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Max Activating Token Index: 976

Text #19

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Data Index: 147805 (C4 (Web Text))

Max Activating Token Index: 261