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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1849 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0133. Min Act: -0.0003

Data Index: 184044 (C4 (Web Text))

Max Activating Token Index: 949

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Text #1

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Data Index: 1384699 (Python Code)

Max Activating Token Index: 285

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Text #2

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Max Act: 0.0124. Min Act: -0.0003

Data Index: 1641710 (Python Code)

Max Activating Token Index: 886

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Text #3

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Max Act: 0.0123. Min Act: -0.0003

Data Index: 1436489 (Python Code)

Max Activating Token Index: 577

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Text #4

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Data Index: 1522784 (Python Code)

Max Activating Token Index: 521

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Text #5

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Data Index: 1392182 (Python Code)

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Text #6

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Data Index: 1457722 (Python Code)

Max Activating Token Index: 960

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Text #7

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Data Index: 1417227 (Python Code)

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Text #8

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Data Index: 1532028 (Python Code)

Max Activating Token Index: 1022

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Text #9

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Data Index: 1458866 (Python Code)

Max Activating Token Index: 475

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Text #10

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Data Index: 1631368 (Python Code)

Max Activating Token Index: 658

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Text #11

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Data Index: 1372161 (Python Code)

Max Activating Token Index: 446

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Text #12

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Text #13

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Text #14

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Data Index: 1383517 (Python Code)

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Text #15

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Text #16

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Data Index: 1397103 (Python Code)

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Text #17

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Data Index: 127046 (C4 (Web Text))

Max Activating Token Index: 709

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Text #18

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Data Index: 1514902 (Python Code)

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Text #19

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Data Index: 1376222 (Python Code)

Max Activating Token Index: 203

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