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

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

Neuron 3888 in Layer 9

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

Text #0

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Max Act: 0.2736. Min Act: -0.0000

Data Index: 1518194 (Python Code)

Max Activating Token Index: 396

Text #1

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Data Index: 1536907 (Python Code)

Max Activating Token Index: 98

Text #2

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Data Index: 1648058 (Python Code)

Max Activating Token Index: 500

Text #3

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Max Act: 0.2329. Min Act: -0.0000

Data Index: 1431534 (Python Code)

Max Activating Token Index: 298

Text #4

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Max Act: 0.2409. Min Act: -0.0000

Data Index: 1576189 (Python Code)

Max Activating Token Index: 598

Text #5

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Data Index: 1378011 (Python Code)

Max Activating Token Index: 250

Text #6

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Data Index: 1620880 (Python Code)

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Text #7

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Data Index: 1483153 (Python Code)

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Text #8

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Data Index: 1531306 (Python Code)

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Text #9

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Data Index: 1613279 (Python Code)

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Text #10

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Data Index: 1647076 (Python Code)

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Text #11

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Data Index: 1545356 (Python Code)

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Text #12

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Data Index: 1640762 (Python Code)

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Text #13

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Data Index: 1526348 (Python Code)

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Text #14

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Data Index: 1633599 (Python Code)

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Text #15

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Data Index: 1373903 (Python Code)

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Text #16

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Data Index: 1651268 (Python Code)

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Text #17

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Data Index: 1494049 (Python Code)

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Text #18

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Data Index: 1544785 (Python Code)

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Text #19

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Data Index: 1424226 (Python Code)

Max Activating Token Index: 896