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

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

Neuron 1538 in Layer 1

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

Text #0

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Data Index: 269681 (C4 (Web Text))

Max Activating Token Index: 262

Text #1

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Max Activating Token Index: 817

Text #2

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Max Act: 0.0283. Min Act: -0.0006

Data Index: 1259947 (C4 (Web Text))

Max Activating Token Index: 386

Text #3

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Max Act: 0.0264. Min Act: -0.0006

Data Index: 622748 (C4 (Web Text))

Max Activating Token Index: 710

Text #4

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Data Index: 1148165 (C4 (Web Text))

Max Activating Token Index: 969

Text #5

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Max Act: 0.0264. Min Act: -0.0006

Data Index: 149011 (C4 (Web Text))

Max Activating Token Index: 98

Text #6

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Text #7

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Max Activating Token Index: 944

Text #8

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Max Activating Token Index: 787

Text #9

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Max Activating Token Index: 169

Text #10

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Max Activating Token Index: 159

Text #11

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Max Activating Token Index: 279

Text #12

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Max Activating Token Index: 151

Text #13

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Max Activating Token Index: 196

Text #14

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Max Activating Token Index: 394

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: 1144753 (C4 (Web Text))

Max Activating Token Index: 358