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

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

Neuron 2556 in Layer 1

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

Text #0

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Max Act: 0.0701. Min Act: -0.0002

Data Index: 1590294 (Python Code)

Max Activating Token Index: 325

Text #1

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Max Act: 0.0637. Min Act: -0.0002

Data Index: 1545607 (Python Code)

Max Activating Token Index: 25

Text #2

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Max Act: 0.0624. Min Act: -0.0002

Data Index: 1484653 (Python Code)

Max Activating Token Index: 13

Text #3

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Max Act: 0.0619. Min Act: -0.0003

Data Index: 1389922 (Python Code)

Max Activating Token Index: 24

Text #4

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Max Act: 0.0555. Min Act: -0.0002

Data Index: 1586789 (Python Code)

Max Activating Token Index: 501

Text #5

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Max Act: 0.0600. Min Act: -0.0003

Data Index: 1533379 (Python Code)

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Text #6

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Data Index: 1486466 (Python Code)

Max Activating Token Index: 374

Text #7

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Data Index: 1544876 (Python Code)

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Text #8

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Data Index: 1422703 (Python Code)

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Text #9

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Data Index: 1527948 (Python Code)

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Text #10

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Data Index: 1527622 (Python Code)

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Text #11

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Data Index: 1400945 (Python Code)

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Text #12

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Data Index: 1366191 (Python Code)

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Text #13

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Data Index: 1653726 (Python Code)

Max Activating Token Index: 507

Text #14

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Data Index: 1538268 (Python Code)

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Text #15

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Data Index: 1490337 (Python Code)

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Text #16

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Data Index: 1561629 (Python Code)

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Text #17

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Data Index: 1579281 (Python Code)

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Text #18

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Data Index: 1496294 (Python Code)

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Text #19

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Data Index: 1426350 (Python Code)

Max Activating Token Index: 499