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

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

Neuron 355 in Layer 0

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

Text #0

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 1378977 (Python Code)

Max Activating Token Index: 419

Text #1

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Max Act: 0.0135. Min Act: -0.0002

Data Index: 1614733 (Python Code)

Max Activating Token Index: 269

Text #2

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Max Act: 0.0134. Min Act: -0.0002

Data Index: 1576048 (Python Code)

Max Activating Token Index: 162

Text #3

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Max Act: 0.0134. Min Act: -0.0002

Data Index: 1531459 (Python Code)

Max Activating Token Index: 756

Text #4

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 1613422 (Python Code)

Max Activating Token Index: 186

Text #5

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 1528526 (Python Code)

Max Activating Token Index: 183

Text #6

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 1540275 (Python Code)

Max Activating Token Index: 314

Text #7

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Data Index: 1570529 (Python Code)

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Text #8

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Data Index: 1407787 (Python Code)

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Text #9

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Data Index: 1390796 (Python Code)

Max Activating Token Index: 42

Text #10

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Data Index: 1585701 (Python Code)

Max Activating Token Index: 642

Text #11

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Data Index: 1424155 (Python Code)

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Text #12

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Data Index: 1405949 (Python Code)

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Text #13

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Data Index: 1405709 (Python Code)

Max Activating Token Index: 800

Text #14

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Data Index: 1560796 (Python Code)

Max Activating Token Index: 956

Text #15

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Data Index: 1474207 (Python Code)

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Text #16

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Data Index: 1485708 (Python Code)

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Text #17

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Data Index: 1517010 (Python Code)

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Text #18

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Data Index: 625042 (C4 (Web Text))

Max Activating Token Index: 105

Text #19

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 1460086 (Python Code)

Max Activating Token Index: 987