Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 30 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 1235851 (C4 (Web Text))

Max Activating Token Index: 735

Text #1

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Max Activating Token Index: 605

Text #2

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Data Index: 1643342 (Python Code)

Max Activating Token Index: 681

Text #3

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Data Index: 105747 (C4 (Web Text))

Max Activating Token Index: 95

Text #4

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Max Activating Token Index: 57

Text #5

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Max Activating Token Index: 63

Text #6

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Text #8

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Text #9

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Text #10

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Text #11

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Text #12

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Max Activating Token Index: 883

Text #13

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Max Activating Token Index: 84

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 548

Text #19

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Data Index: 696804 (C4 (Web Text))

Max Activating Token Index: 949