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

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

Neuron 2037 in Layer 1

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

Text #0

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Max Act: 0.0282. Min Act: -0.0006

Data Index: 1385914 (Python Code)

Max Activating Token Index: 562

Text #1

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Max Act: 0.0221. Min Act: -0.0006

Data Index: 1638882 (Python Code)

Max Activating Token Index: 912

Text #2

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Max Act: 0.0202. Min Act: -0.0006

Data Index: 1471629 (Python Code)

Max Activating Token Index: 417

Text #3

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Max Act: 0.0186. Min Act: -0.0006

Data Index: 1614791 (Python Code)

Max Activating Token Index: 805

Text #4

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Max Act: 0.0195. Min Act: -0.0005

Data Index: 1637295 (Python Code)

Max Activating Token Index: 618

Text #5

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Data Index: 1572931 (Python Code)

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Text #6

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Data Index: 1639996 (Python Code)

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Text #7

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Data Index: 1384516 (Python Code)

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Text #8

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Data Index: 1555679 (Python Code)

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Text #9

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Data Index: 1631538 (Python Code)

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Text #10

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Data Index: 1549816 (Python Code)

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Text #11

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Data Index: 1522041 (Python Code)

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Text #12

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Data Index: 1440410 (Python Code)

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Text #13

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Data Index: 1487526 (Python Code)

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Text #14

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Data Index: 1618886 (Python Code)

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Text #15

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Data Index: 1573561 (Python Code)

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Text #16

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Data Index: 1398396 (Python Code)

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Text #17

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Data Index: 1505603 (Python Code)

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Text #18

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Data Index: 1386377 (Python Code)

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Text #19

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Data Index: 1597008 (Python Code)

Max Activating Token Index: 523