Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 499 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0128. Min Act: -0.0005

Data Index: 159029 (C4 (Web Text))

Max Activating Token Index: 609

Text #1

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Max Activating Token Index: 891

Text #2

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 43820 (C4 (Web Text))

Max Activating Token Index: 555

Text #3

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Max Act: 0.0124. Min Act: -0.0006

Data Index: 999023 (C4 (Web Text))

Max Activating Token Index: 79

Text #4

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Max Activating Token Index: 870

Text #5

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Max Activating Token Index: 626

Text #6

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Max Activating Token Index: 350

Text #7

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Max Activating Token Index: 373

Text #8

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Max Activating Token Index: 665

Text #9

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Max Activating Token Index: 732

Text #10

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Max Activating Token Index: 151

Text #11

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Max Activating Token Index: 777

Text #12

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Max Activating Token Index: 222

Text #13

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Max Activating Token Index: 451

Text #14

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Max Activating Token Index: 536

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 757

Text #18

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Max Activating Token Index: 960

Text #19

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Data Index: 570727 (C4 (Web Text))

Max Activating Token Index: 622