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

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

Neuron 50 in Layer 0

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

Text #0

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Max Act: 0.0333. Min Act: -0.0002

Data Index: 440340 (C4 (Web Text))

Max Activating Token Index: 116

Text #1

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Max Act: 0.0309. Min Act: -0.0002

Data Index: 172046 (C4 (Web Text))

Max Activating Token Index: 200

Text #2

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 730090 (C4 (Web Text))

Max Activating Token Index: 1003

Text #3

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Max Act: 0.0313. Min Act: -0.0002

Data Index: 1281565 (C4 (Web Text))

Max Activating Token Index: 501

Text #4

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Data Index: 1200796 (C4 (Web Text))

Max Activating Token Index: 149

Text #5

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Max Act: 0.0309. Min Act: -0.0002

Data Index: 174167 (C4 (Web Text))

Max Activating Token Index: 558

Text #6

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Max Activating Token Index: 44

Text #7

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Max Activating Token Index: 728

Text #8

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Max Activating Token Index: 123

Text #9

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Max Activating Token Index: 254

Text #10

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Max Activating Token Index: 789

Text #11

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Max Activating Token Index: 951

Text #12

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Max Activating Token Index: 773

Text #13

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Max Activating Token Index: 560

Text #14

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Max Activating Token Index: 70

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 294

Text #18

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Text #19

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Data Index: 927785 (C4 (Web Text))

Max Activating Token Index: 90