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

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

Neuron 736 in Layer 9

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

Text #0

Max Range: 0.7792. Min Range: -0.7792

Max Act: 0.7448. Min Act: -0.0000

Data Index: 1587548 (Python Code)

Max Activating Token Index: 108

Text #1

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Max Act: 0.7724. Min Act: -0.0000

Data Index: 1610720 (Python Code)

Max Activating Token Index: 462

Text #2

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Data Index: 1602528 (Python Code)

Max Activating Token Index: 738

Text #3

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Max Act: 0.7792. Min Act: -0.0000

Data Index: 1580389 (Python Code)

Max Activating Token Index: 881

Text #4

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Max Act: 0.6856. Min Act: -0.0000

Data Index: 1485995 (Python Code)

Max Activating Token Index: 58

Text #5

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Data Index: 1453179 (Python Code)

Max Activating Token Index: 808

Text #6

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Data Index: 1410834 (Python Code)

Max Activating Token Index: 245

Text #7

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Data Index: 1652294 (Python Code)

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Text #8

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Data Index: 1465282 (Python Code)

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Text #9

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Data Index: 1392841 (Python Code)

Max Activating Token Index: 259

Text #10

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Data Index: 1496038 (Python Code)

Max Activating Token Index: 102

Text #11

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Data Index: 1572260 (Python Code)

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Text #12

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Data Index: 1537942 (Python Code)

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Text #13

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Data Index: 1536693 (Python Code)

Max Activating Token Index: 1012

Text #14

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Data Index: 1434475 (Python Code)

Max Activating Token Index: 791

Text #15

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Data Index: 1410942 (Python Code)

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Text #16

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Data Index: 1530576 (Python Code)

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Text #17

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Data Index: 1383791 (Python Code)

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Text #18

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Data Index: 1559857 (Python Code)

Max Activating Token Index: 728

Text #19

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Max Act: 0.6041. Min Act: -0.0000

Data Index: 211502 (C4 (Web Text))

Max Activating Token Index: 93