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

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

Neuron 330 in Layer 1

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

Text #0

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Data Index: 1280061 (C4 (Web Text))

Max Activating Token Index: 65

Text #1

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Max Activating Token Index: 50

Text #2

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 70094 (C4 (Web Text))

Max Activating Token Index: 727

Text #3

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Max Act: 0.0240. Min Act: -0.0006

Data Index: 418451 (C4 (Web Text))

Max Activating Token Index: 329

Text #4

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Data Index: 461959 (C4 (Web Text))

Max Activating Token Index: 865

Text #5

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Max Activating Token Index: 837

Text #6

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Max Activating Token Index: 744

Text #7

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Text #8

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Max Activating Token Index: 328

Text #9

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Text #10

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Max Activating Token Index: 627

Text #11

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Max Activating Token Index: 548

Text #12

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Max Activating Token Index: 89

Text #13

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Max Activating Token Index: 444

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: 157882 (C4 (Web Text))

Max Activating Token Index: 259