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

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

Neuron 3679 in Layer 0

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

Text #0

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 509215 (C4 (Web Text))

Max Activating Token Index: 844

Text #1

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Max Activating Token Index: 968

Text #2

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Max Act: 0.0112. Min Act: -0.0002

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Max Activating Token Index: 725

Text #3

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Data Index: 83623 (C4 (Web Text))

Max Activating Token Index: 747

Text #4

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Data Index: 260562 (C4 (Web Text))

Max Activating Token Index: 701

Text #5

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Data Index: 752730 (C4 (Web Text))

Max Activating Token Index: 172

Text #6

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Max Activating Token Index: 982

Text #7

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Max Activating Token Index: 74

Text #8

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Max Activating Token Index: 1003

Text #9

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Max Activating Token Index: 64

Text #10

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Max Activating Token Index: 13

Text #11

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Max Activating Token Index: 906

Text #12

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Max Activating Token Index: 747

Text #13

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Data Index: 60644 (C4 (Web Text))

Max Activating Token Index: 9

Text #14

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Text #15

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Max Activating Token Index: 473

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 86

Text #19

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Data Index: 496718 (C4 (Web Text))

Max Activating Token Index: 849