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

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

Neuron 1864 in Layer 2

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

Text #0

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Max Act: 0.0105. Min Act: -0.0004

Data Index: 353065 (C4 (Web Text))

Max Activating Token Index: 894

Text #1

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Max Act: 0.0098. Min Act: -0.0005

Data Index: 850483 (C4 (Web Text))

Max Activating Token Index: 934

Text #2

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Max Act: 0.0090. Min Act: -0.0005

Data Index: 1399551 (Python Code)

Max Activating Token Index: 917

Text #3

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Max Act: 0.0094. Min Act: -0.0005

Data Index: 1540695 (Python Code)

Max Activating Token Index: 984

Text #4

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Max Act: 0.0087. Min Act: -0.0005

Data Index: 45938 (C4 (Web Text))

Max Activating Token Index: 995

Text #5

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Max Act: 0.0089. Min Act: -0.0004

Data Index: 302030 (C4 (Web Text))

Max Activating Token Index: 425

Text #6

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Data Index: 1584015 (Python Code)

Max Activating Token Index: 1012

Text #7

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Max Activating Token Index: 877

Text #8

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Max Activating Token Index: 842

Text #9

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Max Activating Token Index: 761

Text #10

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Max Activating Token Index: 1003

Text #11

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Data Index: 1410868 (Python Code)

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Text #12

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Data Index: 952050 (C4 (Web Text))

Max Activating Token Index: 690

Text #13

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Data Index: 1547727 (Python Code)

Max Activating Token Index: 869

Text #14

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Max Activating Token Index: 1010

Text #15

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Text #16

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Text #17

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Data Index: 1452944 (Python Code)

Max Activating Token Index: 1004

Text #18

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Data Index: 1395913 (Python Code)

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0079. Min Act: -0.0005

Data Index: 1647772 (Python Code)

Max Activating Token Index: 772