Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1800 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 1606871 (Python Code)

Max Activating Token Index: 203

Text #1

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Data Index: 1361173 (Python Code)

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Text #2

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Data Index: 1611745 (Python Code)

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Text #3

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Data Index: 1431252 (Python Code)

Max Activating Token Index: 254

Text #4

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Data Index: 1590932 (Python Code)

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Text #5

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Data Index: 1386007 (Python Code)

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Text #6

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Data Index: 1443825 (Python Code)

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Text #7

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Data Index: 1370847 (Python Code)

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Text #8

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Data Index: 1407998 (Python Code)

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Text #9

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Data Index: 1604818 (Python Code)

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Text #10

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Data Index: 1643369 (Python Code)

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Text #11

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Data Index: 1646564 (Python Code)

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Data Index: 1378468 (Python Code)

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Data Index: 1440696 (Python Code)

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Text #14

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Data Index: 1383782 (Python Code)

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Text #15

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Data Index: 1397368 (Python Code)

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Text #16

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Data Index: 1515388 (Python Code)

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Text #17

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Data Index: 1509591 (Python Code)

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Data Index: 1368336 (Python Code)

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Text #19

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Data Index: 1606414 (Python Code)

Max Activating Token Index: 329