Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1672 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0263. Min Act: -0.0005

Data Index: 1569992 (Python Code)

Max Activating Token Index: 747

Text #1

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Max Act: 0.0260. Min Act: -0.0005

Data Index: 1513539 (Python Code)

Max Activating Token Index: 85

Text #2

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Max Act: 0.0248. Min Act: -0.0005

Data Index: 1484367 (Python Code)

Max Activating Token Index: 186

Text #3

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Max Act: 0.0246. Min Act: -0.0005

Data Index: 1466604 (Python Code)

Max Activating Token Index: 98

Text #4

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Max Act: 0.0238. Min Act: -0.0005

Data Index: 1362973 (Python Code)

Max Activating Token Index: 31

Text #5

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Data Index: 1623194 (Python Code)

Max Activating Token Index: 150

Text #6

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Data Index: 1449035 (Python Code)

Max Activating Token Index: 150

Text #7

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Data Index: 1628276 (Python Code)

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Text #8

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Data Index: 1479705 (Python Code)

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Text #9

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Data Index: 1430986 (Python Code)

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Text #10

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Data Index: 1482914 (Python Code)

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Text #11

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Data Index: 1426801 (Python Code)

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Text #12

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Data Index: 1454592 (Python Code)

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Text #13

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Data Index: 1371785 (Python Code)

Max Activating Token Index: 9

Text #14

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Data Index: 1445896 (Python Code)

Max Activating Token Index: 21

Text #15

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Data Index: 1543982 (Python Code)

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Text #16

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Data Index: 1366668 (Python Code)

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Text #17

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Data Index: 1555065 (Python Code)

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Text #18

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Data Index: 1413222 (Python Code)

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Text #19

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Data Index: 1525472 (Python Code)

Max Activating Token Index: 84