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

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

Neuron 2835 in Layer 1

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

Text #0

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Max Act: 0.0478. Min Act: -0.0003

Data Index: 329767 (C4 (Web Text))

Max Activating Token Index: 240

Text #1

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Max Act: 0.0463. Min Act: -0.0002

Data Index: 16816 (C4 (Web Text))

Max Activating Token Index: 86

Text #2

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Max Act: 0.0454. Min Act: -0.0003

Data Index: 258731 (C4 (Web Text))

Max Activating Token Index: 162

Text #3

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Max Act: 0.0451. Min Act: -0.0002

Data Index: 11455 (C4 (Web Text))

Max Activating Token Index: 800

Text #4

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Max Act: 0.0428. Min Act: -0.0003

Data Index: 304177 (C4 (Web Text))

Max Activating Token Index: 555

Text #5

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Data Index: 1123055 (C4 (Web Text))

Max Activating Token Index: 703

Text #6

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Max Activating Token Index: 762

Text #7

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Max Activating Token Index: 36

Text #8

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Data Index: 821575 (C4 (Web Text))

Max Activating Token Index: 457

Text #9

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Max Activating Token Index: 895

Text #10

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Max Activating Token Index: 740

Text #11

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Max Activating Token Index: 852

Text #12

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Max Activating Token Index: 605

Text #13

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Max Activating Token Index: 34

Text #14

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Max Activating Token Index: 663

Text #15

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Max Activating Token Index: 526

Text #16

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Max Activating Token Index: 801

Text #17

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Max Activating Token Index: 794

Text #18

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Max Activating Token Index: 710

Text #19

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Data Index: 218778 (C4 (Web Text))

Max Activating Token Index: 494