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

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

Neuron 2782 in Layer 0

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

Text #0

Max Range: 0.0062. Min Range: -0.0062

Max Act: 0.0062. Min Act: -0.0002

Data Index: 1655679 (Python Code)

Max Activating Token Index: 219

Text #1

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Max Act: 0.0062. Min Act: -0.0002

Data Index: 1526131 (Python Code)

Max Activating Token Index: 278

Text #2

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Max Act: 0.0060. Min Act: -0.0002

Data Index: 1382853 (Python Code)

Max Activating Token Index: 553

Text #3

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Max Act: 0.0059. Min Act: -0.0002

Data Index: 1563114 (Python Code)

Max Activating Token Index: 195

Text #4

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Max Act: 0.0059. Min Act: -0.0002

Data Index: 1481953 (Python Code)

Max Activating Token Index: 996

Text #5

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Max Act: 0.0058. Min Act: -0.0002

Data Index: 1366767 (Python Code)

Max Activating Token Index: 429

Text #6

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Data Index: 1507496 (Python Code)

Max Activating Token Index: 408

Text #7

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Data Index: 1462529 (Python Code)

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Text #8

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Data Index: 1496696 (Python Code)

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Text #9

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Data Index: 1503413 (Python Code)

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Text #10

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Data Index: 1606702 (Python Code)

Max Activating Token Index: 38

Text #11

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Data Index: 1401829 (Python Code)

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Text #12

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Data Index: 1557689 (Python Code)

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Text #13

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Data Index: 1496868 (Python Code)

Max Activating Token Index: 535

Text #14

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Data Index: 1362299 (Python Code)

Max Activating Token Index: 562

Text #15

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Max Act: 0.0056. Min Act: -0.0002

Data Index: 1465767 (Python Code)

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Text #16

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Data Index: 1427743 (Python Code)

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Text #17

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Data Index: 1590850 (Python Code)

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Text #18

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Data Index: 1439514 (Python Code)

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Text #19

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Max Act: 0.0056. Min Act: -0.0002

Data Index: 1426688 (Python Code)

Max Activating Token Index: 119