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

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

Neuron 4999 in Layer 6

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

Text #0

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Max Act: 0.1237. Min Act: -0.0000

Data Index: 1413472 (Python Code)

Max Activating Token Index: 534

Text #1

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Max Act: 0.1001. Min Act: -0.0000

Data Index: 1482432 (Python Code)

Max Activating Token Index: 463

Text #2

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Max Act: 0.0919. Min Act: -0.0000

Data Index: 1451368 (Python Code)

Max Activating Token Index: 25

Text #3

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Max Act: 0.0989. Min Act: -0.0000

Data Index: 1387732 (Python Code)

Max Activating Token Index: 65

Text #4

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Max Act: 0.0924. Min Act: -0.0000

Data Index: 1653350 (Python Code)

Max Activating Token Index: 226

Text #5

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Max Act: 0.0863. Min Act: -0.0000

Data Index: 1386299 (Python Code)

Max Activating Token Index: 23

Text #6

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Data Index: 1544276 (Python Code)

Max Activating Token Index: 103

Text #7

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Data Index: 834434 (C4 (Web Text))

Max Activating Token Index: 194

Text #8

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Data Index: 1462406 (Python Code)

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Text #9

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Data Index: 1452206 (Python Code)

Max Activating Token Index: 484

Text #10

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Data Index: 1514674 (Python Code)

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Text #11

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Data Index: 1647985 (Python Code)

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Text #12

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Data Index: 1594718 (Python Code)

Max Activating Token Index: 506

Text #13

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Data Index: 674629 (C4 (Web Text))

Max Activating Token Index: 148

Text #14

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Data Index: 1487409 (Python Code)

Max Activating Token Index: 662

Text #15

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Data Index: 1452611 (Python Code)

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Text #16

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Data Index: 1503895 (Python Code)

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Text #17

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Data Index: 1487641 (Python Code)

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Text #18

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Data Index: 1513940 (Python Code)

Max Activating Token Index: 145

Text #19

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Data Index: 1583656 (Python Code)

Max Activating Token Index: 30