Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1090 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0573. Min Act: -0.0002

Data Index: 1229871 (C4 (Web Text))

Max Activating Token Index: 256

Text #1

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Max Act: 0.0531. Min Act: -0.0002

Data Index: 182780 (C4 (Web Text))

Max Activating Token Index: 699

Text #2

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 965479 (C4 (Web Text))

Max Activating Token Index: 405

Text #3

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Max Act: 0.0465. Min Act: -0.0002

Data Index: 362445 (C4 (Web Text))

Max Activating Token Index: 584

Text #4

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Max Act: 0.0453. Min Act: -0.0002

Data Index: 119421 (C4 (Web Text))

Max Activating Token Index: 531

Text #5

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Max Act: 0.0449. Min Act: -0.0002

Data Index: 801347 (C4 (Web Text))

Max Activating Token Index: 596

Text #6

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Data Index: 857175 (C4 (Web Text))

Max Activating Token Index: 364

Text #7

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Max Activating Token Index: 44

Text #8

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Data Index: 159852 (C4 (Web Text))

Max Activating Token Index: 468

Text #9

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Data Index: 991502 (C4 (Web Text))

Max Activating Token Index: 126

Text #10

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Max Activating Token Index: 329

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Max Activating Token Index: 132

Text #12

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Max Activating Token Index: 160

Text #13

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Data Index: 160377 (C4 (Web Text))

Max Activating Token Index: 628

Text #14

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Data Index: 819145 (C4 (Web Text))

Max Activating Token Index: 180

Text #15

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Text #16

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Max Activating Token Index: 512

Text #17

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Max Activating Token Index: 203

Text #18

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Data Index: 189259 (C4 (Web Text))

Max Activating Token Index: 48

Text #19

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Max Act: 0.0381. Min Act: -0.0002

Data Index: 1190104 (C4 (Web Text))

Max Activating Token Index: 306