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

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

Neuron 5081 in Layer 0

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

Text #0

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 1548725 (Python Code)

Max Activating Token Index: 575

Text #1

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Max Act: 0.0129. Min Act: -0.0002

Data Index: 1519789 (Python Code)

Max Activating Token Index: 655

Text #2

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 1479802 (Python Code)

Max Activating Token Index: 49

Text #3

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1480933 (Python Code)

Max Activating Token Index: 21

Text #4

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 1431651 (Python Code)

Max Activating Token Index: 697

Text #5

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 1536096 (Python Code)

Max Activating Token Index: 31

Text #6

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Data Index: 1559789 (Python Code)

Max Activating Token Index: 489

Text #7

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Data Index: 1448259 (Python Code)

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Text #8

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Data Index: 1423763 (Python Code)

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Text #9

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Data Index: 1398418 (Python Code)

Max Activating Token Index: 551

Text #10

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Data Index: 1570477 (Python Code)

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Text #11

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Data Index: 1473290 (Python Code)

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Text #12

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Data Index: 1504024 (Python Code)

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Text #13

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Data Index: 1595662 (Python Code)

Max Activating Token Index: 681

Text #14

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Data Index: 1632121 (Python Code)

Max Activating Token Index: 434

Text #15

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Data Index: 1454410 (Python Code)

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Text #16

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Data Index: 1460719 (Python Code)

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Text #17

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Data Index: 1397834 (Python Code)

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Text #18

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Data Index: 1557631 (Python Code)

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Text #19

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Data Index: 1462620 (Python Code)

Max Activating Token Index: 55