Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1613 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 322217 (C4 (Web Text))

Max Activating Token Index: 680

Text #1

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Max Activating Token Index: 190

Text #2

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Max Act: 0.0273. Min Act: -0.0006

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Max Activating Token Index: 968

Text #3

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Data Index: 1211915 (C4 (Web Text))

Max Activating Token Index: 113

Text #4

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Data Index: 79816 (C4 (Web Text))

Max Activating Token Index: 113

Text #5

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Max Activating Token Index: 715

Text #6

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Max Activating Token Index: 124

Text #7

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Text #8

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Max Activating Token Index: 843

Text #9

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Max Activating Token Index: 805

Text #10

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Max Activating Token Index: 839

Text #11

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Max Activating Token Index: 694

Text #12

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Max Activating Token Index: 778

Text #13

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Max Activating Token Index: 825

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: 426271 (C4 (Web Text))

Max Activating Token Index: 116