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

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

Neuron 1644 in Layer 0

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

Text #0

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Max Act: 0.0235. Min Act: -0.0004

Data Index: 1095442 (C4 (Web Text))

Max Activating Token Index: 858

Text #1

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Data Index: 569105 (C4 (Web Text))

Max Activating Token Index: 962

Text #2

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Data Index: 400921 (C4 (Web Text))

Max Activating Token Index: 771

Text #3

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Max Act: 0.0207. Min Act: -0.0005

Data Index: 715716 (C4 (Web Text))

Max Activating Token Index: 565

Text #4

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Data Index: 283109 (C4 (Web Text))

Max Activating Token Index: 731

Text #5

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Data Index: 218000 (C4 (Web Text))

Max Activating Token Index: 1013

Text #6

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Data Index: 321836 (C4 (Web Text))

Max Activating Token Index: 355

Text #7

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Max Activating Token Index: 424

Text #8

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Max Activating Token Index: 209

Text #9

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Max Activating Token Index: 95

Text #10

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Data Index: 31038 (C4 (Web Text))

Max Activating Token Index: 14

Text #11

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Max Activating Token Index: 871

Text #12

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Max Activating Token Index: 405

Text #13

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Data Index: 296861 (C4 (Web Text))

Max Activating Token Index: 792

Text #14

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Data Index: 960656 (C4 (Web Text))

Max Activating Token Index: 406

Text #15

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Max Activating Token Index: 864

Text #16

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Max Activating Token Index: 710

Text #17

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Max Activating Token Index: 342

Text #18

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Max Activating Token Index: 297

Text #19

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Data Index: 298209 (C4 (Web Text))

Max Activating Token Index: 647