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

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

Neuron 3486 in Layer 2

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

Text #0

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Max Act: 0.0748. Min Act: -0.0002

Data Index: 1253426 (C4 (Web Text))

Max Activating Token Index: 295

Text #1

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Max Act: 0.0698. Min Act: -0.0002

Data Index: 219032 (C4 (Web Text))

Max Activating Token Index: 204

Text #2

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Max Act: 0.0664. Min Act: -0.0002

Data Index: 252663 (C4 (Web Text))

Max Activating Token Index: 498

Text #3

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Max Act: 0.0684. Min Act: -0.0002

Data Index: 190973 (C4 (Web Text))

Max Activating Token Index: 375

Text #4

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Max Act: 0.0631. Min Act: -0.0002

Data Index: 1196363 (C4 (Web Text))

Max Activating Token Index: 50

Text #5

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Data Index: 712666 (C4 (Web Text))

Max Activating Token Index: 472

Text #6

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Max Activating Token Index: 991

Text #7

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Data Index: 120412 (C4 (Web Text))

Max Activating Token Index: 931

Text #8

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Data Index: 1253629 (C4 (Web Text))

Max Activating Token Index: 233

Text #9

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Data Index: 918944 (C4 (Web Text))

Max Activating Token Index: 523

Text #10

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Max Activating Token Index: 986

Text #11

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Data Index: 900441 (C4 (Web Text))

Max Activating Token Index: 789

Text #12

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Data Index: 1302518 (C4 (Web Text))

Max Activating Token Index: 466

Text #13

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Data Index: 460777 (C4 (Web Text))

Max Activating Token Index: 944

Text #14

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Data Index: 806079 (C4 (Web Text))

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Text #15

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Text #16

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Max Activating Token Index: 715

Text #17

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Max Activating Token Index: 371

Text #18

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Max Activating Token Index: 69

Text #19

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Data Index: 102045 (C4 (Web Text))

Max Activating Token Index: 674