Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1690 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0271. Min Act: -0.0003

Data Index: 1516168 (Python Code)

Max Activating Token Index: 894

Text #1

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 1498422 (Python Code)

Max Activating Token Index: 793

Text #2

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Max Act: 0.0253. Min Act: -0.0003

Data Index: 1386036 (Python Code)

Max Activating Token Index: 1019

Text #3

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Max Act: 0.0244. Min Act: -0.0003

Data Index: 1557774 (Python Code)

Max Activating Token Index: 947

Text #4

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Max Act: 0.0237. Min Act: -0.0003

Data Index: 1632677 (Python Code)

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Text #5

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Max Act: 0.0237. Min Act: -0.0003

Data Index: 1616131 (Python Code)

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Text #6

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Data Index: 1362642 (Python Code)

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Text #7

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Max Act: 0.0237. Min Act: -0.0003

Data Index: 1647076 (Python Code)

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Text #8

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Data Index: 1511060 (Python Code)

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Text #9

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Data Index: 1650859 (Python Code)

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Text #10

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Data Index: 1373903 (Python Code)

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Text #11

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Data Index: 1526348 (Python Code)

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Text #12

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Data Index: 1654911 (Python Code)

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Text #13

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Data Index: 1374925 (Python Code)

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Text #14

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Data Index: 1496512 (Python Code)

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Text #15

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Data Index: 1610848 (Python Code)

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Text #16

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Data Index: 1378011 (Python Code)

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Text #17

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Data Index: 1617426 (Python Code)

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Text #18

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Max Act: 0.0216. Min Act: -0.0003

Data Index: 976612 (C4 (Web Text))

Max Activating Token Index: 660

Text #19

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Max Act: 0.0222. Min Act: -0.0003

Data Index: 1477234 (Python Code)

Max Activating Token Index: 964