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

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

Neuron 608 in Layer 0

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

Text #0

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1609848 (Python Code)

Max Activating Token Index: 21

Text #1

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Max Act: 0.0092. Min Act: -0.0002

Data Index: 1611777 (Python Code)

Max Activating Token Index: 15

Text #2

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1572225 (Python Code)

Max Activating Token Index: 6

Text #3

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 1647019 (Python Code)

Max Activating Token Index: 29

Text #4

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 1412674 (Python Code)

Max Activating Token Index: 11

Text #5

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 1628135 (Python Code)

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Text #6

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Data Index: 1360301 (Python Code)

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Text #7

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Data Index: 1432418 (Python Code)

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Text #8

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Data Index: 1419049 (Python Code)

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Text #9

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Data Index: 1481090 (Python Code)

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Text #10

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Data Index: 1586623 (Python Code)

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Text #11

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Data Index: 1416608 (Python Code)

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Text #12

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Data Index: 1526895 (Python Code)

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Text #13

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Data Index: 1516846 (Python Code)

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Text #14

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Data Index: 1413880 (Python Code)

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Text #15

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Data Index: 1581842 (Python Code)

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Text #16

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Data Index: 1654377 (Python Code)

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Text #17

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Data Index: 1465895 (Python Code)

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Text #18

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Data Index: 1367198 (Python Code)

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Text #19

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Data Index: 1363361 (Python Code)

Max Activating Token Index: 47