Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 234 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0107. Min Act: -0.0004

Data Index: 1627371 (Python Code)

Max Activating Token Index: 235

Text #1

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Max Act: 0.0105. Min Act: -0.0004

Data Index: 1579461 (Python Code)

Max Activating Token Index: 166

Text #2

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Max Act: 0.0105. Min Act: -0.0004

Data Index: 1239884 (C4 (Web Text))

Max Activating Token Index: 485

Text #3

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Max Act: 0.0099. Min Act: -0.0004

Data Index: 1642174 (Python Code)

Max Activating Token Index: 10

Text #4

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Max Act: 0.0093. Min Act: -0.0004

Data Index: 617781 (C4 (Web Text))

Max Activating Token Index: 182

Text #5

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Max Act: 0.0092. Min Act: -0.0004

Data Index: 181227 (C4 (Web Text))

Max Activating Token Index: 830

Text #6

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Data Index: 450451 (C4 (Web Text))

Max Activating Token Index: 86

Text #7

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Max Activating Token Index: 86

Text #8

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Max Activating Token Index: 301

Text #9

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Max Activating Token Index: 833

Text #10

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Max Activating Token Index: 826

Text #11

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Max Activating Token Index: 940

Text #12

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Max Activating Token Index: 874

Text #13

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Data Index: 677079 (C4 (Web Text))

Max Activating Token Index: 238

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 349

Text #18

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Max Activating Token Index: 157

Text #19

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Max Act: 0.0087. Min Act: -0.0004

Data Index: 598522 (C4 (Web Text))

Max Activating Token Index: 434