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

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

Neuron 655 in Layer 0

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

Text #0

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Max Act: 0.0226. Min Act: -0.0002

Data Index: 982483 (C4 (Web Text))

Max Activating Token Index: 709

Text #1

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Max Activating Token Index: 495

Text #2

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Data Index: 166858 (C4 (Web Text))

Max Activating Token Index: 609

Text #3

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Max Act: 0.0220. Min Act: -0.0002

Data Index: 872722 (C4 (Web Text))

Max Activating Token Index: 234

Text #4

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Data Index: 553424 (C4 (Web Text))

Max Activating Token Index: 567

Text #5

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Max Activating Token Index: 908

Text #6

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Max Activating Token Index: 599

Text #7

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Text #8

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Max Activating Token Index: 640

Text #9

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Max Activating Token Index: 78

Text #10

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Max Activating Token Index: 228

Text #11

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Data Index: 397031 (C4 (Web Text))

Max Activating Token Index: 185

Text #12

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Max Activating Token Index: 625

Text #13

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Max Activating Token Index: 212

Text #14

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Max Activating Token Index: 389

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 506

Text #18

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Max Activating Token Index: 469

Text #19

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Data Index: 1050307 (C4 (Web Text))

Max Activating Token Index: 693