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

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

Neuron 872 in Layer 0

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

Text #0

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Max Act: 0.0743. Min Act: -0.0002

Data Index: 754342 (C4 (Web Text))

Max Activating Token Index: 739

Text #1

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Data Index: 24412 (C4 (Web Text))

Max Activating Token Index: 834

Text #2

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Max Act: 0.0694. Min Act: -0.0002

Data Index: 918465 (C4 (Web Text))

Max Activating Token Index: 820

Text #3

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Data Index: 1048881 (C4 (Web Text))

Max Activating Token Index: 940

Text #4

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Data Index: 680513 (C4 (Web Text))

Max Activating Token Index: 690

Text #5

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Data Index: 48238 (C4 (Web Text))

Max Activating Token Index: 791

Text #6

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Max Activating Token Index: 69

Text #7

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Max Activating Token Index: 873

Text #8

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Max Activating Token Index: 74

Text #9

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Max Activating Token Index: 937

Text #10

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Data Index: 1148915 (C4 (Web Text))

Max Activating Token Index: 406

Text #11

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Max Activating Token Index: 505

Text #12

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Data Index: 316065 (C4 (Web Text))

Max Activating Token Index: 322

Text #13

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Data Index: 1241471 (C4 (Web Text))

Max Activating Token Index: 217

Text #14

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Data Index: 115220 (C4 (Web Text))

Max Activating Token Index: 950

Text #15

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Max Activating Token Index: 468

Text #16

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Max Activating Token Index: 398

Text #17

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Max Activating Token Index: 281

Text #18

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Max Activating Token Index: 211

Text #19

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Data Index: 1141010 (C4 (Web Text))

Max Activating Token Index: 37