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

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

Neuron 4599 in Layer 1

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

Text #0

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Max Act: 0.0257. Min Act: -0.0003

Data Index: 1644549 (Python Code)

Max Activating Token Index: 67

Text #1

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Max Act: 0.0239. Min Act: -0.0003

Data Index: 1531645 (Python Code)

Max Activating Token Index: 903

Text #2

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Max Act: 0.0235. Min Act: -0.0003

Data Index: 1439369 (Python Code)

Max Activating Token Index: 252

Text #3

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 1488142 (Python Code)

Max Activating Token Index: 45

Text #4

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Max Act: 0.0233. Min Act: -0.0003

Data Index: 1527334 (Python Code)

Max Activating Token Index: 984

Text #5

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Data Index: 1614415 (Python Code)

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Text #6

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Data Index: 1498703 (Python Code)

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Text #7

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Data Index: 1496536 (Python Code)

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Text #8

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Data Index: 1592743 (Python Code)

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Text #9

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Data Index: 1424642 (Python Code)

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Data Index: 1476078 (Python Code)

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Data Index: 1363974 (Python Code)

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Text #12

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Data Index: 1378383 (Python Code)

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Text #13

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Data Index: 1519304 (Python Code)

Max Activating Token Index: 142

Text #14

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Data Index: 949531 (C4 (Web Text))

Max Activating Token Index: 238

Text #15

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Data Index: 1652300 (Python Code)

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Text #16

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Data Index: 1394793 (Python Code)

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Text #17

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Data Index: 1580259 (Python Code)

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Text #18

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Data Index: 1414438 (Python Code)

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Text #19

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 1407305 (Python Code)

Max Activating Token Index: 795