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

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

Neuron 4864 in Layer 9

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

Text #0

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Data Index: 405356 (C4 (Web Text))

Max Activating Token Index: 548

Text #1

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Text #2

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Max Activating Token Index: 1005

Text #3

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Data Index: 754921 (C4 (Web Text))

Max Activating Token Index: 395

Text #4

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Data Index: 164880 (C4 (Web Text))

Max Activating Token Index: 613

Text #5

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Max Activating Token Index: 740

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 737

Text #10

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Max Activating Token Index: 242

Text #11

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Text #12

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Max Activating Token Index: 679

Text #13

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Max Activating Token Index: 343

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: 561467 (C4 (Web Text))

Max Activating Token Index: 783