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

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

Neuron 572 in Layer 1

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

Text #0

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Max Act: 0.0302. Min Act: -0.0006

Data Index: 1606091 (Python Code)

Max Activating Token Index: 36

Text #1

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Max Act: 0.0283. Min Act: -0.0006

Data Index: 1443337 (Python Code)

Max Activating Token Index: 81

Text #2

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Max Act: 0.0281. Min Act: -0.0006

Data Index: 1635794 (Python Code)

Max Activating Token Index: 881

Text #3

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Max Act: 0.0286. Min Act: -0.0006

Data Index: 1412299 (Python Code)

Max Activating Token Index: 906

Text #4

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Max Act: 0.0279. Min Act: -0.0006

Data Index: 1546449 (Python Code)

Max Activating Token Index: 156

Text #5

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Max Act: 0.0279. Min Act: -0.0006

Data Index: 1492013 (Python Code)

Max Activating Token Index: 29

Text #6

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Data Index: 1498737 (Python Code)

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Text #7

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Data Index: 1602753 (Python Code)

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Text #8

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Data Index: 1481181 (Python Code)

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Text #9

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Data Index: 1590349 (Python Code)

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Text #10

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Data Index: 1415926 (Python Code)

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Text #11

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Data Index: 1455975 (Python Code)

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Text #12

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Data Index: 1607110 (Python Code)

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Text #13

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Data Index: 1504693 (Python Code)

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Text #14

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Data Index: 1361907 (Python Code)

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Text #15

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Data Index: 1596283 (Python Code)

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Text #16

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Data Index: 1411990 (Python Code)

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Text #17

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Data Index: 1380751 (Python Code)

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Text #18

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Data Index: 1516450 (Python Code)

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Text #19

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Data Index: 1585239 (Python Code)

Max Activating Token Index: 29