Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1383 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0253. Min Act: -0.0005

Data Index: 1470025 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0230. Min Act: -0.0005

Data Index: 1360355 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0224. Min Act: -0.0005

Data Index: 1492233 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0222. Min Act: -0.0006

Data Index: 1613598 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0216. Min Act: -0.0006

Data Index: 1647889 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0215. Min Act: -0.0006

Data Index: 1638633 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1463694 (Python Code)

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Text #7

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Data Index: 1559280 (Python Code)

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Text #8

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Data Index: 1538309 (Python Code)

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Data Index: 1435201 (Python Code)

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Text #10

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Data Index: 1460703 (Python Code)

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Text #11

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Data Index: 1594360 (Python Code)

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Text #12

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Data Index: 1449273 (Python Code)

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Text #13

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Data Index: 1377108 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1478792 (Python Code)

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Text #15

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Data Index: 1533171 (Python Code)

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Text #16

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Data Index: 1557421 (Python Code)

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Text #17

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Data Index: 1617189 (Python Code)

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Text #18

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Data Index: 1529780 (Python Code)

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Text #19

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Data Index: 1444922 (Python Code)

Max Activating Token Index: 1023