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

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

Neuron 943 in Layer 2

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

Text #0

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Max Act: 0.2038. Min Act: -0.0002

Data Index: 1635733 (Python Code)

Max Activating Token Index: 976

Text #1

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Max Act: 0.1980. Min Act: -0.0002

Data Index: 1409615 (Python Code)

Max Activating Token Index: 518

Text #2

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Max Act: 0.1773. Min Act: -0.0002

Data Index: 1559425 (Python Code)

Max Activating Token Index: 526

Text #3

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Max Act: 0.1629. Min Act: -0.0002

Data Index: 1515482 (Python Code)

Max Activating Token Index: 415

Text #4

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Max Act: 0.1715. Min Act: -0.0002

Data Index: 1510312 (Python Code)

Max Activating Token Index: 716

Text #5

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Max Act: 0.1657. Min Act: -0.0002

Data Index: 1511236 (Python Code)

Max Activating Token Index: 133

Text #6

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Data Index: 1617720 (Python Code)

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Text #7

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Data Index: 1585806 (Python Code)

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Text #8

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Data Index: 1532272 (Python Code)

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Text #9

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Data Index: 1534374 (Python Code)

Max Activating Token Index: 522

Text #10

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Data Index: 1484086 (Python Code)

Max Activating Token Index: 978

Text #11

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Data Index: 1647888 (Python Code)

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Text #12

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Data Index: 1386743 (Python Code)

Max Activating Token Index: 801

Text #13

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Data Index: 1628437 (Python Code)

Max Activating Token Index: 832

Text #14

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Data Index: 1404118 (Python Code)

Max Activating Token Index: 180

Text #15

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Data Index: 1434484 (Python Code)

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Text #16

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Data Index: 1361431 (Python Code)

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Text #17

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Data Index: 1498985 (Python Code)

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Text #18

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Data Index: 1609236 (Python Code)

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Text #19

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Max Act: 0.1434. Min Act: -0.0002

Data Index: 1377932 (Python Code)

Max Activating Token Index: 806