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

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

Neuron 749 in Layer 0

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

Text #0

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Max Act: 0.0088. Min Act: -0.0005

Data Index: 109174 (C4 (Web Text))

Max Activating Token Index: 716

Text #1

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 884733 (C4 (Web Text))

Max Activating Token Index: 161

Text #2

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Max Act: 0.0071. Min Act: -0.0005

Data Index: 431377 (C4 (Web Text))

Max Activating Token Index: 98

Text #3

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Max Act: 0.0070. Min Act: -0.0005

Data Index: 1068871 (C4 (Web Text))

Max Activating Token Index: 503

Text #4

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Max Act: 0.0072. Min Act: -0.0006

Data Index: 1203408 (C4 (Web Text))

Max Activating Token Index: 146

Text #5

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Data Index: 192005 (C4 (Web Text))

Max Activating Token Index: 29

Text #6

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Max Activating Token Index: 407

Text #7

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Max Activating Token Index: 739

Text #8

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Max Activating Token Index: 983

Text #9

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Max Activating Token Index: 621

Text #10

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Max Activating Token Index: 542

Text #11

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Max Activating Token Index: 187

Text #12

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Max Activating Token Index: 356

Text #13

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Max Activating Token Index: 999

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 564

Text #17

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Data Index: 1425489 (Python Code)

Max Activating Token Index: 722

Text #18

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Data Index: 1068158 (C4 (Web Text))

Max Activating Token Index: 153

Text #19

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Data Index: 766515 (C4 (Web Text))

Max Activating Token Index: 605