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

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

Neuron 5042 in Layer 2

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

Text #0

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Max Act: 0.0372. Min Act: -0.0002

Data Index: 1389973 (Python Code)

Max Activating Token Index: 89

Text #1

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 1508833 (Python Code)

Max Activating Token Index: 283

Text #2

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Max Act: 0.0360. Min Act: -0.0002

Data Index: 1483045 (Python Code)

Max Activating Token Index: 670

Text #3

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Max Act: 0.0350. Min Act: -0.0002

Data Index: 1533377 (Python Code)

Max Activating Token Index: 789

Text #4

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Max Act: 0.0324. Min Act: -0.0002

Data Index: 1514186 (Python Code)

Max Activating Token Index: 983

Text #5

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Max Act: 0.0349. Min Act: -0.0002

Data Index: 1422258 (Python Code)

Max Activating Token Index: 156

Text #6

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Data Index: 1594995 (Python Code)

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Text #7

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Data Index: 1398469 (Python Code)

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Data Index: 1412667 (Python Code)

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Text #9

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Data Index: 1541406 (Python Code)

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Text #10

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Data Index: 1528005 (Python Code)

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Data Index: 1508017 (Python Code)

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Text #12

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Data Index: 1619484 (Python Code)

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Text #13

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Data Index: 1448053 (Python Code)

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Text #14

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Data Index: 1495086 (Python Code)

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Text #15

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Data Index: 1598598 (Python Code)

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Text #16

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Data Index: 1548578 (Python Code)

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Text #17

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Data Index: 1441604 (Python Code)

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Text #18

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Data Index: 1406169 (Python Code)

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Text #19

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Max Act: 0.0350. Min Act: -0.0002

Data Index: 1620851 (Python Code)

Max Activating Token Index: 126