Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4538 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0075. Min Range: -0.0075

Max Act: 0.0075. Min Act: -0.0002

Data Index: 13802 (C4 (Web Text))

Max Activating Token Index: 55

Text #1

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Data Index: 923959 (C4 (Web Text))

Max Activating Token Index: 3

Text #2

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Data Index: 987528 (C4 (Web Text))

Max Activating Token Index: 4

Text #3

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 1041750 (C4 (Web Text))

Max Activating Token Index: 2

Text #4

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 730108 (C4 (Web Text))

Max Activating Token Index: 2

Text #5

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 376964 (C4 (Web Text))

Max Activating Token Index: 1

Text #6

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Data Index: 800780 (C4 (Web Text))

Max Activating Token Index: 212

Text #7

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Max Activating Token Index: 13

Text #8

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Max Activating Token Index: 5

Text #9

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Data Index: 686099 (C4 (Web Text))

Max Activating Token Index: 259

Text #10

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Data Index: 124915 (C4 (Web Text))

Max Activating Token Index: 351

Text #11

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Max Activating Token Index: 243

Text #12

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Text #13

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Data Index: 278382 (C4 (Web Text))

Max Activating Token Index: 255

Text #14

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Data Index: 1167522 (C4 (Web Text))

Max Activating Token Index: 307

Text #15

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Text #16

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Text #17

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Data Index: 398703 (C4 (Web Text))

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Text #18

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Data Index: 421512 (C4 (Web Text))

Max Activating Token Index: 203

Text #19

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 460099 (C4 (Web Text))

Max Activating Token Index: 43