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

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

Neuron 630 in Layer 1

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

Text #0

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Max Act: 0.0244. Min Act: -0.0003

Data Index: 1560599 (Python Code)

Max Activating Token Index: 148

Text #1

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 1485646 (Python Code)

Max Activating Token Index: 325

Text #2

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Max Act: 0.0232. Min Act: -0.0003

Data Index: 1419380 (Python Code)

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Text #3

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Max Act: 0.0221. Min Act: -0.0003

Data Index: 1403117 (Python Code)

Max Activating Token Index: 643

Text #4

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Max Act: 0.0220. Min Act: -0.0003

Data Index: 1515998 (Python Code)

Max Activating Token Index: 981

Text #5

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Data Index: 1625301 (Python Code)

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Text #6

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Data Index: 1418587 (Python Code)

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Data Index: 1597317 (Python Code)

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Data Index: 1492765 (Python Code)

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Data Index: 1556507 (Python Code)

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Data Index: 1371369 (Python Code)

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Text #12

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Data Index: 1477353 (Python Code)

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Data Index: 1555436 (Python Code)

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Text #14

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Data Index: 1630307 (Python Code)

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Text #15

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Data Index: 1642794 (Python Code)

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Text #16

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Data Index: 1651357 (Python Code)

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Text #17

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Data Index: 1628702 (Python Code)

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Data Index: 1447812 (Python Code)

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Text #19

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Data Index: 1649558 (Python Code)

Max Activating Token Index: 613