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

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

Neuron 1020 in Layer 2

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

Text #0

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Max Act: 0.0343. Min Act: -0.0002

Data Index: 1415991 (Python Code)

Max Activating Token Index: 298

Text #1

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1381690 (Python Code)

Max Activating Token Index: 533

Text #2

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1512280 (Python Code)

Max Activating Token Index: 74

Text #3

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Max Act: 0.0354. Min Act: -0.0002

Data Index: 1458489 (Python Code)

Max Activating Token Index: 463

Text #4

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Data Index: 1329622 (C4 (Web Text))

Max Activating Token Index: 901

Text #5

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Data Index: 1629613 (Python Code)

Max Activating Token Index: 1004

Text #6

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Data Index: 1621001 (Python Code)

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Text #7

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Data Index: 1511272 (Python Code)

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Text #8

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Data Index: 1562018 (Python Code)

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Text #9

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Data Index: 1593515 (Python Code)

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Text #10

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Data Index: 1520775 (Python Code)

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Data Index: 1646585 (Python Code)

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Text #12

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Data Index: 1402507 (Python Code)

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Text #13

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Data Index: 1607148 (Python Code)

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Text #14

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Data Index: 1481170 (Python Code)

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Text #15

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Data Index: 1474698 (Python Code)

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Text #16

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Data Index: 1452091 (Python Code)

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Text #17

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Data Index: 342673 (C4 (Web Text))

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Text #18

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Data Index: 1532481 (Python Code)

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Text #19

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Max Act: 0.0293. Min Act: -0.0002

Data Index: 1431486 (Python Code)

Max Activating Token Index: 55