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

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

Neuron 1526 in Layer 3

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

Text #0

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Max Activating Token Index: 567

Text #1

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Text #2

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Max Activating Token Index: 496

Text #3

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Max Activating Token Index: 687

Text #4

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Max Activating Token Index: 518

Text #5

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Text #6

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Max Activating Token Index: 489

Text #13

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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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Max Activating Token Index: 72