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

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

Neuron 4886 in Layer 2

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

Text #0

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Max Act: 0.0669. Min Act: -0.0002

Data Index: 1437866 (Python Code)

Max Activating Token Index: 306

Text #1

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Max Act: 0.0685. Min Act: -0.0002

Data Index: 1466014 (Python Code)

Max Activating Token Index: 162

Text #2

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Max Act: 0.0632. Min Act: -0.0002

Data Index: 1420984 (Python Code)

Max Activating Token Index: 201

Text #3

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Max Act: 0.0649. Min Act: -0.0002

Data Index: 1485845 (Python Code)

Max Activating Token Index: 100

Text #4

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Max Act: 0.0641. Min Act: -0.0002

Data Index: 1573684 (Python Code)

Max Activating Token Index: 190

Text #5

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Max Act: 0.0630. Min Act: -0.0002

Data Index: 1501827 (Python Code)

Max Activating Token Index: 162

Text #6

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Data Index: 1580783 (Python Code)

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Text #7

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Data Index: 1576119 (Python Code)

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Text #8

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Data Index: 1615999 (Python Code)

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Text #9

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Data Index: 1424907 (Python Code)

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Text #10

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Data Index: 1426561 (Python Code)

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Text #11

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Data Index: 1605911 (Python Code)

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Text #12

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Data Index: 1504077 (Python Code)

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Text #13

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Data Index: 1409820 (Python Code)

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Text #14

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Data Index: 1530464 (Python Code)

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Text #15

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Data Index: 1539870 (Python Code)

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Text #16

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Data Index: 1507168 (Python Code)

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Text #17

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Data Index: 1617578 (Python Code)

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Text #18

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Data Index: 1448168 (Python Code)

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Text #19

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Data Index: 1632559 (Python Code)

Max Activating Token Index: 358