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

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

Neuron 1093 in Layer 0

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

Text #0

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Data Index: 613170 (C4 (Web Text))

Max Activating Token Index: 415

Text #1

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Data Index: 35214 (C4 (Web Text))

Max Activating Token Index: 196

Text #2

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Data Index: 573298 (C4 (Web Text))

Max Activating Token Index: 634

Text #3

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Max Act: 0.0134. Min Act: -0.0006

Data Index: 295984 (C4 (Web Text))

Max Activating Token Index: 135

Text #4

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Max Act: 0.0131. Min Act: -0.0006

Data Index: 83104 (C4 (Web Text))

Max Activating Token Index: 312

Text #5

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Max Activating Token Index: 185

Text #6

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Max Activating Token Index: 197

Text #7

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Text #9

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Max Activating Token Index: 471

Text #10

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Max Activating Token Index: 199

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Max Activating Token Index: 554

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Max Activating Token Index: 586

Text #13

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Max Activating Token Index: 326

Text #14

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Max Activating Token Index: 1003

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 431

Text #18

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Max Activating Token Index: 721

Text #19

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Data Index: 1263989 (C4 (Web Text))

Max Activating Token Index: 519