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

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

Neuron 2092 in Layer 9

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

Text #0

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Max Act: 0.3358. Min Act: -0.0000

Data Index: 442373 (C4 (Web Text))

Max Activating Token Index: 320

Text #1

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Data Index: 1348955 (C4 (Web Text))

Max Activating Token Index: 792

Text #2

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Max Act: 0.2321. Min Act: -0.0000

Data Index: 848900 (C4 (Web Text))

Max Activating Token Index: 178

Text #3

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Max Act: 0.2484. Min Act: -0.0000

Data Index: 266070 (C4 (Web Text))

Max Activating Token Index: 410

Text #4

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Data Index: 766203 (C4 (Web Text))

Max Activating Token Index: 539

Text #5

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Data Index: 565585 (C4 (Web Text))

Max Activating Token Index: 625

Text #6

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Max Activating Token Index: 869

Text #7

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Data Index: 720986 (C4 (Web Text))

Max Activating Token Index: 86

Text #8

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Data Index: 887700 (C4 (Web Text))

Max Activating Token Index: 875

Text #9

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Data Index: 187306 (C4 (Web Text))

Max Activating Token Index: 352

Text #10

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Max Activating Token Index: 926

Text #11

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Data Index: 917582 (C4 (Web Text))

Max Activating Token Index: 80

Text #12

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Data Index: 384035 (C4 (Web Text))

Max Activating Token Index: 605

Text #13

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Data Index: 397803 (C4 (Web Text))

Max Activating Token Index: 144

Text #14

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Data Index: 126168 (C4 (Web Text))

Max Activating Token Index: 545

Text #15

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Text #16

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Text #17

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Data Index: 205671 (C4 (Web Text))

Max Activating Token Index: 959

Text #18

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Data Index: 1618703 (Python Code)

Max Activating Token Index: 820

Text #19

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Max Act: 0.1851. Min Act: -0.0000

Data Index: 611655 (C4 (Web Text))

Max Activating Token Index: 715