Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 5001 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.3008. Min Act: -0.0000

Data Index: 500759 (C4 (Web Text))

Max Activating Token Index: 851

Text #1

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Max Act: 0.2381. Min Act: -0.0000

Data Index: 815330 (C4 (Web Text))

Max Activating Token Index: 290

Text #2

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Data Index: 800725 (C4 (Web Text))

Max Activating Token Index: 854

Text #3

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Max Act: 0.2237. Min Act: -0.0000

Data Index: 1227540 (C4 (Web Text))

Max Activating Token Index: 526

Text #4

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Data Index: 1191829 (C4 (Web Text))

Max Activating Token Index: 882

Text #5

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Data Index: 69081 (C4 (Web Text))

Max Activating Token Index: 262

Text #6

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Max Activating Token Index: 393

Text #7

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Text #8

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Data Index: 1513657 (Python Code)

Max Activating Token Index: 956

Text #9

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Data Index: 1092728 (C4 (Web Text))

Max Activating Token Index: 279

Text #10

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Data Index: 1468510 (Python Code)

Max Activating Token Index: 167

Text #11

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Data Index: 885768 (C4 (Web Text))

Max Activating Token Index: 73

Text #12

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Data Index: 1121881 (C4 (Web Text))

Max Activating Token Index: 881

Text #13

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Data Index: 1057759 (C4 (Web Text))

Max Activating Token Index: 622

Text #14

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Max Activating Token Index: 904

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 565

Text #18

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Data Index: 216641 (C4 (Web Text))

Max Activating Token Index: 250

Text #19

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Data Index: 1385737 (Python Code)

Max Activating Token Index: 286