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

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

Neuron 5029 in Layer 2

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

Text #0

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Max Act: 0.0228. Min Act: -0.0002

Data Index: 164601 (C4 (Web Text))

Max Activating Token Index: 929

Text #1

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Data Index: 250953 (C4 (Web Text))

Max Activating Token Index: 484

Text #2

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Data Index: 111573 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Data Index: 932672 (C4 (Web Text))

Max Activating Token Index: 940

Text #4

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Data Index: 407174 (C4 (Web Text))

Max Activating Token Index: 636

Text #5

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Data Index: 72649 (C4 (Web Text))

Max Activating Token Index: 893

Text #6

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Max Activating Token Index: 1023

Text #7

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Text #8

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Max Activating Token Index: 1023

Text #9

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Max Activating Token Index: 507

Text #10

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Max Activating Token Index: 986

Text #11

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Data Index: 73371 (C4 (Web Text))

Max Activating Token Index: 567

Text #12

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Max Activating Token Index: 1023

Text #13

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Max Activating Token Index: 36

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 528

Text #17

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Max Activating Token Index: 527

Text #18

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Text #19

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Data Index: 775729 (C4 (Web Text))

Max Activating Token Index: 962