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

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

Neuron 4347 in Layer 2

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

Text #0

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Max Act: 0.0415. Min Act: -0.0002

Data Index: 596905 (C4 (Web Text))

Max Activating Token Index: 430

Text #1

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 1012013 (C4 (Web Text))

Max Activating Token Index: 518

Text #2

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Max Act: 0.0363. Min Act: -0.0002

Data Index: 1062027 (C4 (Web Text))

Max Activating Token Index: 787

Text #3

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Max Act: 0.0357. Min Act: -0.0002

Data Index: 69052 (C4 (Web Text))

Max Activating Token Index: 973

Text #4

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Data Index: 1311302 (C4 (Web Text))

Max Activating Token Index: 838

Text #5

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Data Index: 1190696 (C4 (Web Text))

Max Activating Token Index: 835

Text #6

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Data Index: 59141 (C4 (Web Text))

Max Activating Token Index: 395

Text #7

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Max Activating Token Index: 711

Text #8

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Max Activating Token Index: 499

Text #9

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Max Activating Token Index: 781

Text #10

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Max Activating Token Index: 740

Text #11

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Max Activating Token Index: 775

Text #12

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Max Activating Token Index: 850

Text #13

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Max Activating Token Index: 1018

Text #14

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Data Index: 853469 (C4 (Web Text))

Max Activating Token Index: 509

Text #15

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Text #16

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Max Activating Token Index: 100

Text #17

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Max Activating Token Index: 910

Text #18

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Data Index: 1092012 (C4 (Web Text))

Max Activating Token Index: 90

Text #19

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Data Index: 1269369 (C4 (Web Text))

Max Activating Token Index: 328