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

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

Neuron 3183 in Layer 4

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

Text #0

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Max Act: 0.0227. Min Act: -0.0000

Data Index: 1479356 (Python Code)

Max Activating Token Index: 978

Text #1

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Max Act: 0.0215. Min Act: -0.0000

Data Index: 1411587 (Python Code)

Max Activating Token Index: 980

Text #2

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Max Act: 0.0220. Min Act: -0.0001

Data Index: 14868 (C4 (Web Text))

Max Activating Token Index: 626

Text #3

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Max Act: 0.0194. Min Act: -0.0001

Data Index: 662844 (C4 (Web Text))

Max Activating Token Index: 780

Text #4

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Max Act: 0.0196. Min Act: -0.0000

Data Index: 1627083 (Python Code)

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Text #5

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Data Index: 1566049 (Python Code)

Max Activating Token Index: 943

Text #6

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Data Index: 1583987 (Python Code)

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Data Index: 1431269 (Python Code)

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Text #8

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Max Activating Token Index: 996

Text #9

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Max Activating Token Index: 850

Text #10

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Max Activating Token Index: 684

Text #11

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Data Index: 1482508 (Python Code)

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Text #12

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Data Index: 1525844 (Python Code)

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Text #13

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Data Index: 1205793 (C4 (Web Text))

Max Activating Token Index: 550

Text #14

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Data Index: 1179908 (C4 (Web Text))

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Text #15

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Data Index: 1567635 (Python Code)

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Text #16

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Text #17

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Data Index: 1654719 (Python Code)

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Text #18

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Data Index: 1377318 (Python Code)

Max Activating Token Index: 253

Text #19

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Data Index: 1407571 (Python Code)

Max Activating Token Index: 934