Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 886 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0612. Min Act: -0.0003

Data Index: 493919 (C4 (Web Text))

Max Activating Token Index: 810

Text #1

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Max Activating Token Index: 191

Text #2

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Data Index: 1343795 (C4 (Web Text))

Max Activating Token Index: 778

Text #3

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Max Act: 0.0549. Min Act: -0.0003

Data Index: 924678 (C4 (Web Text))

Max Activating Token Index: 479

Text #4

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Max Activating Token Index: 736

Text #5

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Max Activating Token Index: 295

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 498

Text #9

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Max Activating Token Index: 132

Text #10

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Max Activating Token Index: 6

Text #11

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Max Activating Token Index: 271

Text #12

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Max Activating Token Index: 844

Text #13

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Max Activating Token Index: 65

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: 687188 (C4 (Web Text))

Max Activating Token Index: 391