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

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

Neuron 845 in Layer 1

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

Text #0

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Max Act: 0.0319. Min Act: -0.0003

Data Index: 1565533 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0287. Min Act: -0.0003

Data Index: 849977 (C4 (Web Text))

Max Activating Token Index: 165

Text #2

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 1043078 (C4 (Web Text))

Max Activating Token Index: 434

Text #3

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Max Act: 0.0268. Min Act: -0.0003

Data Index: 747087 (C4 (Web Text))

Max Activating Token Index: 598

Text #4

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Max Act: 0.0253. Min Act: -0.0003

Data Index: 1429723 (Python Code)

Max Activating Token Index: 288

Text #5

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 834215 (C4 (Web Text))

Max Activating Token Index: 179

Text #6

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Max Act: 0.0246. Min Act: -0.0003

Data Index: 1364751 (Python Code)

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Text #7

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Data Index: 1548427 (Python Code)

Max Activating Token Index: 223

Text #8

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Data Index: 1362542 (Python Code)

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Text #9

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Data Index: 1638388 (Python Code)

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Text #10

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Data Index: 1546038 (Python Code)

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Text #11

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Data Index: 1639768 (Python Code)

Max Activating Token Index: 369

Text #12

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Data Index: 1511446 (Python Code)

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Text #13

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Data Index: 1390027 (Python Code)

Max Activating Token Index: 1011

Text #14

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Data Index: 751579 (C4 (Web Text))

Max Activating Token Index: 853

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 617

Text #18

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Data Index: 266586 (C4 (Web Text))

Max Activating Token Index: 877

Text #19

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 950864 (C4 (Web Text))

Max Activating Token Index: 611