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

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

Neuron 458 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0006

Data Index: 913848 (C4 (Web Text))

Max Activating Token Index: 523

Text #1

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Max Act: 0.0080. Min Act: -0.0006

Data Index: 1098362 (C4 (Web Text))

Max Activating Token Index: 267

Text #2

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Max Act: 0.0078. Min Act: -0.0006

Data Index: 1270410 (C4 (Web Text))

Max Activating Token Index: 614

Text #3

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Max Act: 0.0074. Min Act: -0.0006

Data Index: 1194393 (C4 (Web Text))

Max Activating Token Index: 983

Text #4

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 546502 (C4 (Web Text))

Max Activating Token Index: 97

Text #5

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Max Activating Token Index: 895

Text #6

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Max Activating Token Index: 962

Text #7

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Data Index: 450437 (C4 (Web Text))

Max Activating Token Index: 227

Text #8

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Max Activating Token Index: 173

Text #9

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Max Activating Token Index: 603

Text #10

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Text #11

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Data Index: 560903 (C4 (Web Text))

Max Activating Token Index: 258

Text #12

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Max Activating Token Index: 253

Text #13

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Max Activating Token Index: 653

Text #14

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Data Index: 1435061 (Python Code)

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 417

Text #19

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Data Index: 46429 (C4 (Web Text))

Max Activating Token Index: 1000