Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 837 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 1172200 (C4 (Web Text))

Max Activating Token Index: 110

Text #1

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Max Activating Token Index: 588

Text #2

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Max Activating Token Index: 605

Text #3

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Data Index: 1200980 (C4 (Web Text))

Max Activating Token Index: 689

Text #4

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Max Activating Token Index: 29

Text #5

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Max Activating Token Index: 624

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 100

Text #9

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Max Activating Token Index: 544

Text #10

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Max Activating Token Index: 557

Text #12

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Max Activating Token Index: 936

Text #13

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Max Activating Token Index: 642

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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Text #19

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Data Index: 908315 (C4 (Web Text))

Max Activating Token Index: 577