Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 56 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0321. Min Act: -0.0004

Data Index: 1386285 (Python Code)

Max Activating Token Index: 411

Text #1

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Max Act: 0.0279. Min Act: -0.0004

Data Index: 1638737 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0257. Min Act: -0.0004

Data Index: 930297 (C4 (Web Text))

Max Activating Token Index: 90

Text #3

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Max Act: 0.0243. Min Act: -0.0004

Data Index: 1398041 (Python Code)

Max Activating Token Index: 406

Text #4

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Max Act: 0.0235. Min Act: -0.0004

Data Index: 1552382 (Python Code)

Max Activating Token Index: 312

Text #5

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Max Act: 0.0239. Min Act: -0.0004

Data Index: 1444494 (Python Code)

Max Activating Token Index: 83

Text #6

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Data Index: 1103192 (C4 (Web Text))

Max Activating Token Index: 26

Text #7

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Data Index: 77310 (C4 (Web Text))

Max Activating Token Index: 842

Text #8

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Data Index: 1435900 (Python Code)

Max Activating Token Index: 69

Text #9

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Data Index: 1514945 (Python Code)

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Text #10

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Data Index: 345495 (C4 (Web Text))

Max Activating Token Index: 550

Text #11

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Data Index: 1569739 (Python Code)

Max Activating Token Index: 346

Text #12

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Data Index: 1528757 (Python Code)

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Text #13

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Data Index: 1646582 (Python Code)

Max Activating Token Index: 155

Text #14

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Data Index: 1507374 (Python Code)

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Text #15

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Data Index: 1453809 (Python Code)

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Text #16

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Data Index: 291150 (C4 (Web Text))

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Text #17

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Data Index: 1573412 (Python Code)

Max Activating Token Index: 26

Text #18

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Data Index: 1385141 (Python Code)

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Text #19

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Max Act: 0.0233. Min Act: -0.0004

Data Index: 1101797 (C4 (Web Text))

Max Activating Token Index: 362