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

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

Neuron 823 in Layer 1

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

Text #0

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Max Act: 0.0615. Min Act: -0.0003

Data Index: 237755 (C4 (Web Text))

Max Activating Token Index: 497

Text #1

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Data Index: 621921 (C4 (Web Text))

Max Activating Token Index: 808

Text #2

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Max Act: 0.0592. Min Act: -0.0003

Data Index: 607391 (C4 (Web Text))

Max Activating Token Index: 666

Text #3

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Max Act: 0.0592. Min Act: -0.0003

Data Index: 1202976 (C4 (Web Text))

Max Activating Token Index: 364

Text #4

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Data Index: 1016825 (C4 (Web Text))

Max Activating Token Index: 240

Text #5

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Max Act: 0.0554. Min Act: -0.0003

Data Index: 255102 (C4 (Web Text))

Max Activating Token Index: 305

Text #6

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Max Activating Token Index: 925

Text #7

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Max Activating Token Index: 722

Text #8

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Max Activating Token Index: 205

Text #9

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Max Activating Token Index: 670

Text #10

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Data Index: 428822 (C4 (Web Text))

Max Activating Token Index: 388

Text #11

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Data Index: 9385 (C4 (Web Text))

Max Activating Token Index: 158

Text #12

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Max Activating Token Index: 382

Text #13

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Data Index: 298876 (C4 (Web Text))

Max Activating Token Index: 451

Text #14

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Data Index: 79055 (C4 (Web Text))

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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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Data Index: 125930 (C4 (Web Text))

Max Activating Token Index: 45

Text #19

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Data Index: 436939 (C4 (Web Text))

Max Activating Token Index: 352