Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1335 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.1186. Min Act: -0.0003

Data Index: 1458189 (Python Code)

Max Activating Token Index: 758

Text #1

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Max Act: 0.0950. Min Act: -0.0003

Data Index: 1603777 (Python Code)

Max Activating Token Index: 665

Text #2

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Max Act: 0.0930. Min Act: -0.0003

Data Index: 1379902 (Python Code)

Max Activating Token Index: 138

Text #3

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Max Act: 0.0922. Min Act: -0.0003

Data Index: 1378053 (Python Code)

Max Activating Token Index: 6

Text #4

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Max Act: 0.0924. Min Act: -0.0003

Data Index: 1568869 (Python Code)

Max Activating Token Index: 985

Text #5

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Max Act: 0.0904. Min Act: -0.0003

Data Index: 1503272 (Python Code)

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Text #6

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Data Index: 1643663 (Python Code)

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Text #7

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Data Index: 1524334 (Python Code)

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Text #8

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Data Index: 1595789 (Python Code)

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Text #9

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Data Index: 1533554 (Python Code)

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Text #10

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Data Index: 1405309 (Python Code)

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Text #11

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Data Index: 1603302 (Python Code)

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Text #12

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Data Index: 1563492 (Python Code)

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Text #13

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Data Index: 1460643 (Python Code)

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Text #14

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Data Index: 1472657 (Python Code)

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Text #15

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Data Index: 1559561 (Python Code)

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Text #16

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Data Index: 1649071 (Python Code)

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Text #17

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Data Index: 1590419 (Python Code)

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Text #18

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Data Index: 1477795 (Python Code)

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Text #19

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Data Index: 1391328 (Python Code)

Max Activating Token Index: 801