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

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

Neuron 3427 in Layer 3

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

Text #0

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Max Act: 0.0851. Min Act: -0.0001

Data Index: 1574516 (Python Code)

Max Activating Token Index: 776

Text #1

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Max Act: 0.0838. Min Act: -0.0001

Data Index: 1633287 (Python Code)

Max Activating Token Index: 641

Text #2

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Max Act: 0.0811. Min Act: -0.0001

Data Index: 1611444 (Python Code)

Max Activating Token Index: 76

Text #3

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Max Act: 0.0852. Min Act: -0.0001

Data Index: 1621961 (Python Code)

Max Activating Token Index: 309

Text #4

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Max Act: 0.0862. Min Act: -0.0001

Data Index: 555933 (C4 (Web Text))

Max Activating Token Index: 367

Text #5

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Max Act: 0.0878. Min Act: -0.0001

Data Index: 1521990 (Python Code)

Max Activating Token Index: 952

Text #6

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Data Index: 1369418 (Python Code)

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Text #7

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Data Index: 1511048 (Python Code)

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Text #8

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Data Index: 804387 (C4 (Web Text))

Max Activating Token Index: 519

Text #9

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Data Index: 1482880 (Python Code)

Max Activating Token Index: 406

Text #10

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Data Index: 1278022 (C4 (Web Text))

Max Activating Token Index: 304

Text #11

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Text #12

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Data Index: 1365820 (Python Code)

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Text #13

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Data Index: 1236162 (C4 (Web Text))

Max Activating Token Index: 393

Text #14

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Data Index: 1531184 (Python Code)

Max Activating Token Index: 41

Text #15

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Data Index: 833809 (C4 (Web Text))

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Text #16

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Text #17

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Max Activating Token Index: 406

Text #18

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Data Index: 1244667 (C4 (Web Text))

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Text #19

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Data Index: 1403083 (Python Code)

Max Activating Token Index: 967