Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 140 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0242. Min Act: -0.0003

Data Index: 1476010 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0239. Min Act: -0.0003

Data Index: 1398856 (Python Code)

Max Activating Token Index: 303

Text #2

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Max Act: 0.0231. Min Act: -0.0003

Data Index: 1477070 (Python Code)

Max Activating Token Index: 447

Text #3

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Max Act: 0.0225. Min Act: -0.0000

Data Index: 1597096 (Python Code)

Max Activating Token Index: 663

Text #4

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Max Act: 0.0223. Min Act: -0.0003

Data Index: 1625253 (Python Code)

Max Activating Token Index: 185

Text #5

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Max Act: 0.0224. Min Act: -0.0003

Data Index: 1408570 (Python Code)

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Text #6

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Data Index: 1460880 (Python Code)

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Data Index: 1371683 (Python Code)

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Data Index: 1422797 (Python Code)

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Data Index: 1497853 (Python Code)

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Text #10

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Data Index: 1584924 (Python Code)

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Data Index: 1382443 (Python Code)

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Text #12

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Data Index: 1473637 (Python Code)

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Text #13

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Data Index: 1632272 (Python Code)

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Text #14

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Data Index: 1518301 (Python Code)

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Text #15

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Data Index: 1407773 (Python Code)

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Text #16

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Data Index: 1416420 (Python Code)

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Text #17

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Data Index: 1434652 (Python Code)

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Text #18

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Data Index: 1365095 (Python Code)

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Text #19

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Data Index: 1407275 (Python Code)

Max Activating Token Index: 235