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

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

Neuron 4536 in Layer 1

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

Text #0

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 1556996 (Python Code)

Max Activating Token Index: 16

Text #1

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Max Act: 0.0236. Min Act: -0.0002

Data Index: 1556392 (Python Code)

Max Activating Token Index: 11

Text #2

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Data Index: 1493007 (Python Code)

Max Activating Token Index: 19

Text #3

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Max Act: 0.0216. Min Act: -0.0002

Data Index: 1600162 (Python Code)

Max Activating Token Index: 22

Text #4

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Max Act: 0.0216. Min Act: -0.0002

Data Index: 1563655 (Python Code)

Max Activating Token Index: 17

Text #5

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Max Act: 0.0217. Min Act: -0.0002

Data Index: 1540292 (Python Code)

Max Activating Token Index: 10

Text #6

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Data Index: 1361362 (Python Code)

Max Activating Token Index: 33

Text #7

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Data Index: 1389271 (Python Code)

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Text #8

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Data Index: 1504884 (Python Code)

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Text #9

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Data Index: 1524737 (Python Code)

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Text #10

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Data Index: 1429810 (Python Code)

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Text #11

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Data Index: 1592513 (Python Code)

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Text #12

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Data Index: 1632900 (Python Code)

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Text #13

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Data Index: 1390173 (Python Code)

Max Activating Token Index: 33

Text #14

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Data Index: 1590014 (Python Code)

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Text #15

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Data Index: 1482952 (Python Code)

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Text #16

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Data Index: 1387765 (Python Code)

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Text #17

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Data Index: 1003747 (C4 (Web Text))

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Text #18

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Data Index: 1413763 (Python Code)

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Text #19

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Data Index: 1564217 (Python Code)

Max Activating Token Index: 50