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

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

Neuron 3488 in Layer 0

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

Text #0

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 516033 (C4 (Web Text))

Max Activating Token Index: 607

Text #1

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Data Index: 636294 (C4 (Web Text))

Max Activating Token Index: 366

Text #2

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Data Index: 950767 (C4 (Web Text))

Max Activating Token Index: 66

Text #3

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Max Act: 0.0113. Min Act: -0.0002

Data Index: 825606 (C4 (Web Text))

Max Activating Token Index: 489

Text #4

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Data Index: 490147 (C4 (Web Text))

Max Activating Token Index: 314

Text #5

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Max Act: 0.0101. Min Act: -0.0002

Data Index: 574322 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Max Activating Token Index: 336

Text #7

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Text #8

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Max Activating Token Index: 265

Text #9

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Max Activating Token Index: 210

Text #10

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Max Activating Token Index: 909

Text #11

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Max Activating Token Index: 1023

Text #12

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Max Activating Token Index: 213

Text #13

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Data Index: 240205 (C4 (Web Text))

Max Activating Token Index: 165

Text #14

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Max Activating Token Index: 238

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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Max Activating Token Index: 945

Text #19

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Data Index: 636523 (C4 (Web Text))

Max Activating Token Index: 647