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

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

Neuron 3973 in Layer 5

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

Text #0

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Max Act: 0.0471. Min Act: -0.0000

Data Index: 1394142 (Python Code)

Max Activating Token Index: 666

Text #1

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Max Act: 0.0428. Min Act: -0.0000

Data Index: 1245464 (C4 (Web Text))

Max Activating Token Index: 627

Text #2

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Max Act: 0.0424. Min Act: -0.0000

Data Index: 1635012 (Python Code)

Max Activating Token Index: 758

Text #3

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Max Act: 0.0431. Min Act: -0.0000

Data Index: 1111760 (C4 (Web Text))

Max Activating Token Index: 996

Text #4

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Max Act: 0.0430. Min Act: -0.0000

Data Index: 1563812 (Python Code)

Max Activating Token Index: 40

Text #5

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Max Act: 0.0423. Min Act: -0.0000

Data Index: 258914 (C4 (Web Text))

Max Activating Token Index: 337

Text #6

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Data Index: 85883 (C4 (Web Text))

Max Activating Token Index: 279

Text #7

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Data Index: 8099 (C4 (Web Text))

Max Activating Token Index: 498

Text #8

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Max Activating Token Index: 643

Text #9

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Data Index: 316849 (C4 (Web Text))

Max Activating Token Index: 701

Text #10

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Max Activating Token Index: 179

Text #11

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Max Activating Token Index: 572

Text #12

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Data Index: 1547782 (Python Code)

Max Activating Token Index: 62

Text #13

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Data Index: 24825 (C4 (Web Text))

Max Activating Token Index: 933

Text #14

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Data Index: 1497747 (Python Code)

Max Activating Token Index: 117

Text #15

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Max Activating Token Index: 131

Text #16

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Text #17

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Data Index: 207355 (C4 (Web Text))

Max Activating Token Index: 997

Text #18

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Data Index: 1161883 (C4 (Web Text))

Max Activating Token Index: 42

Text #19

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Data Index: 967539 (C4 (Web Text))

Max Activating Token Index: 242