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

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

Neuron 4959 in Layer 1

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

Text #0

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Max Act: 0.1153. Min Act: -0.0003

Data Index: 513841 (C4 (Web Text))

Max Activating Token Index: 332

Text #1

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Data Index: 661306 (C4 (Web Text))

Max Activating Token Index: 797

Text #2

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Max Act: 0.1056. Min Act: -0.0003

Data Index: 243111 (C4 (Web Text))

Max Activating Token Index: 809

Text #3

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Max Act: 0.1036. Min Act: -0.0002

Data Index: 961559 (C4 (Web Text))

Max Activating Token Index: 83

Text #4

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Max Act: 0.1016. Min Act: -0.0002

Data Index: 1112631 (C4 (Web Text))

Max Activating Token Index: 265

Text #5

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Max Activating Token Index: 890

Text #6

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Data Index: 383901 (C4 (Web Text))

Max Activating Token Index: 246

Text #7

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Max Activating Token Index: 109

Text #8

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Max Activating Token Index: 448

Text #9

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Data Index: 950836 (C4 (Web Text))

Max Activating Token Index: 359

Text #10

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Max Activating Token Index: 547

Text #11

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Max Activating Token Index: 760

Text #12

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Data Index: 218834 (C4 (Web Text))

Max Activating Token Index: 41

Text #13

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Data Index: 564919 (C4 (Web Text))

Max Activating Token Index: 188

Text #14

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Max Activating Token Index: 87

Text #15

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Max Activating Token Index: 660

Text #16

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Max Activating Token Index: 565

Text #17

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Max Activating Token Index: 60

Text #18

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Max Activating Token Index: 664

Text #19

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Data Index: 544057 (C4 (Web Text))

Max Activating Token Index: 859