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

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

Neuron 924 in Layer 0

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

Text #0

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 757143 (C4 (Web Text))

Max Activating Token Index: 180

Text #1

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 974824 (C4 (Web Text))

Max Activating Token Index: 547

Text #2

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Max Act: 0.0114. Min Act: -0.0002

Data Index: 460300 (C4 (Web Text))

Max Activating Token Index: 791

Text #3

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Max Act: 0.0113. Min Act: -0.0002

Data Index: 1046408 (C4 (Web Text))

Max Activating Token Index: 75

Text #4

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 332217 (C4 (Web Text))

Max Activating Token Index: 388

Text #5

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Max Activating Token Index: 872

Text #6

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Data Index: 187482 (C4 (Web Text))

Max Activating Token Index: 316

Text #7

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Max Activating Token Index: 65

Text #8

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Max Activating Token Index: 388

Text #9

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Data Index: 266270 (C4 (Web Text))

Max Activating Token Index: 172

Text #10

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Max Activating Token Index: 439

Text #11

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Max Activating Token Index: 282

Text #12

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Max Activating Token Index: 851

Text #13

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Data Index: 165401 (C4 (Web Text))

Max Activating Token Index: 761

Text #14

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Data Index: 804181 (C4 (Web Text))

Max Activating Token Index: 390

Text #15

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Max Activating Token Index: 351

Text #16

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Max Activating Token Index: 215

Text #17

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Max Activating Token Index: 81

Text #18

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Max Activating Token Index: 615

Text #19

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Max Act: 0.0101. Min Act: -0.0002

Data Index: 580766 (C4 (Web Text))

Max Activating Token Index: 194