Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 460 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0127. Min Act: -0.0005

Data Index: 1522851 (Python Code)

Max Activating Token Index: 231

Text #1

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 1362453 (Python Code)

Max Activating Token Index: 220

Text #2

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Max Act: 0.0115. Min Act: -0.0005

Data Index: 1571702 (Python Code)

Max Activating Token Index: 909

Text #3

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Max Act: 0.0109. Min Act: -0.0005

Data Index: 1479846 (Python Code)

Max Activating Token Index: 761

Text #4

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Max Act: 0.0105. Min Act: -0.0005

Data Index: 1583539 (Python Code)

Max Activating Token Index: 861

Text #5

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Max Act: 0.0106. Min Act: -0.0005

Data Index: 1496016 (Python Code)

Max Activating Token Index: 484

Text #6

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Data Index: 1615272 (Python Code)

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Text #7

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Data Index: 1381274 (Python Code)

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Text #8

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Data Index: 1416414 (Python Code)

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Text #9

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Data Index: 1417706 (Python Code)

Max Activating Token Index: 397

Text #10

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Data Index: 1635985 (Python Code)

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Text #11

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Data Index: 1449499 (Python Code)

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Text #12

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Data Index: 1402925 (Python Code)

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Text #13

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Data Index: 393798 (C4 (Web Text))

Max Activating Token Index: 496

Text #14

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Data Index: 1630210 (Python Code)

Max Activating Token Index: 163

Text #15

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Data Index: 1579592 (Python Code)

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Text #16

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Data Index: 1493793 (Python Code)

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Text #17

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Data Index: 1626979 (Python Code)

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Text #18

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Data Index: 1526304 (Python Code)

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Text #19

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Max Act: 0.0090. Min Act: -0.0005

Data Index: 1644298 (Python Code)

Max Activating Token Index: 561