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

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

Neuron 4524 in Layer 1

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

Text #0

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Max Act: 0.0474. Min Act: -0.0003

Data Index: 1621783 (Python Code)

Max Activating Token Index: 2

Text #1

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Max Act: 0.0410. Min Act: -0.0003

Data Index: 1452533 (Python Code)

Max Activating Token Index: 2

Text #2

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 1400263 (Python Code)

Max Activating Token Index: 3

Text #3

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Max Act: 0.0365. Min Act: -0.0002

Data Index: 1555055 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 0.0350. Min Act: -0.0003

Data Index: 1420431 (Python Code)

Max Activating Token Index: 4

Text #5

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Max Act: 0.0350. Min Act: -0.0003

Data Index: 1364677 (Python Code)

Max Activating Token Index: 8

Text #6

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Data Index: 1600404 (Python Code)

Max Activating Token Index: 7

Text #7

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Data Index: 1603260 (Python Code)

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Data Index: 1520720 (Python Code)

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Data Index: 1571577 (Python Code)

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Data Index: 1527246 (Python Code)

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Data Index: 1455401 (Python Code)

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Data Index: 1461976 (Python Code)

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Text #13

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Data Index: 1485692 (Python Code)

Max Activating Token Index: 2

Text #14

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Data Index: 1425787 (Python Code)

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Text #15

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Data Index: 1552262 (Python Code)

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Text #16

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Data Index: 1561581 (Python Code)

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Text #17

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Data Index: 1374916 (Python Code)

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Data Index: 1582683 (Python Code)

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Text #19

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Data Index: 1506483 (Python Code)

Max Activating Token Index: 2