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

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

Neuron 1857 in Layer 1

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

Text #0

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Max Act: 0.0317. Min Act: -0.0006

Data Index: 1523190 (Python Code)

Max Activating Token Index: 34

Text #1

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Max Act: 0.0325. Min Act: -0.0006

Data Index: 1439808 (Python Code)

Max Activating Token Index: 282

Text #2

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Max Act: 0.0323. Min Act: -0.0006

Data Index: 1402837 (Python Code)

Max Activating Token Index: 50

Text #3

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Max Act: 0.0315. Min Act: -0.0006

Data Index: 1459816 (Python Code)

Max Activating Token Index: 47

Text #4

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Max Act: 0.0322. Min Act: -0.0006

Data Index: 1620430 (Python Code)

Max Activating Token Index: 41

Text #5

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Max Act: 0.0316. Min Act: -0.0006

Data Index: 1377870 (Python Code)

Max Activating Token Index: 46

Text #6

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Data Index: 1467082 (Python Code)

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Text #7

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Data Index: 1554573 (Python Code)

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Text #8

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Data Index: 1524360 (Python Code)

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Data Index: 1546904 (Python Code)

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Data Index: 1642770 (Python Code)

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Text #11

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Data Index: 1566000 (Python Code)

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Data Index: 1511529 (Python Code)

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Text #13

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Data Index: 1514282 (Python Code)

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Text #14

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Data Index: 1588186 (Python Code)

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Text #15

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Data Index: 1401213 (Python Code)

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Text #16

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Data Index: 1473509 (Python Code)

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Text #17

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Text #18

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Data Index: 1473162 (Python Code)

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Text #19

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Data Index: 1578329 (Python Code)

Max Activating Token Index: 57