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

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

Neuron 3577 in Layer 0

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

Text #0

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 420452 (C4 (Web Text))

Max Activating Token Index: 628

Text #1

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Max Act: 0.0135. Min Act: -0.0002

Data Index: 440644 (C4 (Web Text))

Max Activating Token Index: 517

Text #2

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Data Index: 247600 (C4 (Web Text))

Max Activating Token Index: 808

Text #3

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 492790 (C4 (Web Text))

Max Activating Token Index: 868

Text #4

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 1282089 (C4 (Web Text))

Max Activating Token Index: 388

Text #5

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 332423 (C4 (Web Text))

Max Activating Token Index: 937

Text #6

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Max Activating Token Index: 131

Text #7

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Max Activating Token Index: 567

Text #8

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Max Activating Token Index: 175

Text #9

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Max Activating Token Index: 970

Text #10

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Max Activating Token Index: 791

Text #11

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Max Activating Token Index: 10

Text #12

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Max Activating Token Index: 716

Text #13

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Max Activating Token Index: 648

Text #14

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Data Index: 87809 (C4 (Web Text))

Max Activating Token Index: 884

Text #15

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Max Activating Token Index: 25

Text #16

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Text #17

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Max Activating Token Index: 717

Text #18

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Max Activating Token Index: 650

Text #19

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Data Index: 312744 (C4 (Web Text))

Max Activating Token Index: 880