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

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

Neuron 558 in Layer 0

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

Text #0

Max Range: 0.0115. Min Range: -0.0115

Max Act: 0.0115. Min Act: -0.0006

Data Index: 1446226 (Python Code)

Max Activating Token Index: 302

Text #1

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Data Index: 1557929 (Python Code)

Max Activating Token Index: 18

Text #2

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Max Act: 0.0112. Min Act: -0.0006

Data Index: 1577794 (Python Code)

Max Activating Token Index: 32

Text #3

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Max Act: 0.0112. Min Act: -0.0006

Data Index: 1497063 (Python Code)

Max Activating Token Index: 275

Text #4

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Max Act: 0.0111. Min Act: -0.0006

Data Index: 1495684 (Python Code)

Max Activating Token Index: 530

Text #5

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Data Index: 1428897 (Python Code)

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Text #6

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Data Index: 1642022 (Python Code)

Max Activating Token Index: 199

Text #7

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Data Index: 1374700 (Python Code)

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Text #8

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Data Index: 1399880 (Python Code)

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Text #9

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Data Index: 1421003 (Python Code)

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Text #10

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Data Index: 1527402 (Python Code)

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Text #11

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Data Index: 1570071 (Python Code)

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Text #12

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Data Index: 1493474 (Python Code)

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Text #13

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Data Index: 1647086 (Python Code)

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Text #14

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Data Index: 1621234 (Python Code)

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Text #15

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Data Index: 1633720 (Python Code)

Max Activating Token Index: 444

Text #16

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Data Index: 1649478 (Python Code)

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Text #17

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Data Index: 1632138 (Python Code)

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Text #18

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Data Index: 1650767 (Python Code)

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Text #19

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Data Index: 1544524 (Python Code)

Max Activating Token Index: 616