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

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

Neuron 1533 in Layer 1

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



Text #0

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Max Act: 0.0755. Min Act: -0.0003

Data Index: 353641 (C4 (Web Text))

Max Activating Token Index: 205

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Text #1

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Max Act: 0.0627. Min Act: -0.0003

Data Index: 291795 (C4 (Web Text))

Max Activating Token Index: 731

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Text #2

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Max Act: 0.0563. Min Act: -0.0002

Data Index: 1413836 (Python Code)

Max Activating Token Index: 271

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Text #3

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Max Act: 0.0563. Min Act: -0.0003

Data Index: 114248 (C4 (Web Text))

Max Activating Token Index: 551

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Text #4

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Max Act: 0.0560. Min Act: -0.0003

Data Index: 84096 (C4 (Web Text))

Max Activating Token Index: 665

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Text #5

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Data Index: 1321526 (C4 (Web Text))

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Text #6

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Data Index: 699438 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1245523 (C4 (Web Text))

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Text #9

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Data Index: 1177014 (C4 (Web Text))

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Text #10

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Data Index: 153208 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 72060 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1145052 (C4 (Web Text))

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Text #15

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Data Index: 1613133 (Python Code)

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Text #16

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Data Index: 338389 (C4 (Web Text))

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Text #17

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Data Index: 1164128 (C4 (Web Text))

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Text #18

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Data Index: 962200 (C4 (Web Text))

Max Activating Token Index: 662

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Text #19

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Data Index: 1395505 (Python Code)

Max Activating Token Index: 37

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