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

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

Neuron 1663 in Layer 0

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

Text #0

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Max Act: 0.0206. Min Act: -0.0002

Data Index: 1109925 (C4 (Web Text))

Max Activating Token Index: 293

Text #1

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Data Index: 422570 (C4 (Web Text))

Max Activating Token Index: 124

Text #2

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 7480 (C4 (Web Text))

Max Activating Token Index: 7

Text #3

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 334698 (C4 (Web Text))

Max Activating Token Index: 243

Text #4

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 693317 (C4 (Web Text))

Max Activating Token Index: 16

Text #5

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Data Index: 81774 (C4 (Web Text))

Max Activating Token Index: 102

Text #6

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Max Activating Token Index: 803

Text #7

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Max Activating Token Index: 17

Text #8

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Max Activating Token Index: 973

Text #9

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Data Index: 437373 (C4 (Web Text))

Max Activating Token Index: 20

Text #10

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Max Activating Token Index: 219

Text #11

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Max Activating Token Index: 34

Text #12

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Data Index: 547719 (C4 (Web Text))

Max Activating Token Index: 12

Text #13

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Data Index: 881771 (C4 (Web Text))

Max Activating Token Index: 110

Text #14

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Data Index: 483605 (C4 (Web Text))

Max Activating Token Index: 154

Text #15

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Max Activating Token Index: 617

Text #16

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Max Activating Token Index: 391

Text #17

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Max Activating Token Index: 22

Text #18

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Max Activating Token Index: 21

Text #19

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Data Index: 401616 (C4 (Web Text))

Max Activating Token Index: 393