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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 240 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0361. Min Act: -0.0003

Data Index: 1620479 (Python Code)

Max Activating Token Index: 634

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Text #1

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Max Act: 0.0315. Min Act: -0.0003

Data Index: 1543378 (Python Code)

Max Activating Token Index: 627

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Text #2

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Max Act: 0.0318. Min Act: -0.0003

Data Index: 1496057 (Python Code)

Max Activating Token Index: 177

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Text #3

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 1405113 (Python Code)

Max Activating Token Index: 395

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Text #4

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Data Index: 1414441 (Python Code)

Max Activating Token Index: 581

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Text #5

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Data Index: 1651240 (Python Code)

Max Activating Token Index: 107

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Text #6

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Data Index: 1625967 (Python Code)

Max Activating Token Index: 422

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Text #7

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Data Index: 1531265 (Python Code)

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Text #8

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Data Index: 1559913 (Python Code)

Max Activating Token Index: 174

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Text #9

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Data Index: 1055815 (C4 (Web Text))

Max Activating Token Index: 567

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Text #10

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Data Index: 1632625 (Python Code)

Max Activating Token Index: 825

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Text #11

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Data Index: 1505367 (Python Code)

Max Activating Token Index: 312

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Text #12

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Data Index: 1527678 (Python Code)

Max Activating Token Index: 532

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Text #13

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Data Index: 1584974 (Python Code)

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Text #14

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Data Index: 1449933 (Python Code)

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Text #15

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Data Index: 1648919 (Python Code)

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Text #16

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Data Index: 1403649 (Python Code)

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Text #17

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Data Index: 1501357 (Python Code)

Max Activating Token Index: 891

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Text #18

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Data Index: 1376560 (Python Code)

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Text #19

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Data Index: 1432484 (Python Code)

Max Activating Token Index: 110

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