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

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

Neuron 32 in Layer 0

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

Text #0

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Max Act: 0.0336. Min Act: -0.0005

Data Index: 727936 (C4 (Web Text))

Max Activating Token Index: 113

Text #1

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Max Activating Token Index: 502

Text #2

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Max Act: 0.0332. Min Act: -0.0005

Data Index: 24424 (C4 (Web Text))

Max Activating Token Index: 538

Text #3

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Max Act: 0.0333. Min Act: -0.0006

Data Index: 1058861 (C4 (Web Text))

Max Activating Token Index: 40

Text #4

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Data Index: 609457 (C4 (Web Text))

Max Activating Token Index: 30

Text #5

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Max Activating Token Index: 690

Text #6

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Max Activating Token Index: 125

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 743

Text #12

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Max Activating Token Index: 105

Text #13

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Max Activating Token Index: 813

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 283

Text #18

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Text #19

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Data Index: 96635 (C4 (Web Text))

Max Activating Token Index: 58