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

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

Neuron 225 in Layer 1

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

Text #0

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Max Act: 0.1034. Min Act: -0.0003

Data Index: 1164495 (C4 (Web Text))

Max Activating Token Index: 516

Text #1

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Max Activating Token Index: 543

Text #2

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Max Act: 0.0938. Min Act: -0.0003

Data Index: 74829 (C4 (Web Text))

Max Activating Token Index: 70

Text #3

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Max Act: 0.0959. Min Act: -0.0003

Data Index: 241072 (C4 (Web Text))

Max Activating Token Index: 215

Text #4

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Data Index: 1250017 (C4 (Web Text))

Max Activating Token Index: 24

Text #5

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Max Activating Token Index: 163

Text #6

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Text #7

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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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Max Activating Token Index: 532

Text #12

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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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Data Index: 1027884 (C4 (Web Text))

Max Activating Token Index: 637