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

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

Neuron 1033 in Layer 1

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

Text #0

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Max Act: 0.0832. Min Act: -0.0003

Data Index: 969023 (C4 (Web Text))

Max Activating Token Index: 183

Text #1

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Max Act: 0.0751. Min Act: -0.0003

Data Index: 353045 (C4 (Web Text))

Max Activating Token Index: 342

Text #2

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Max Act: 0.0733. Min Act: -0.0003

Data Index: 543766 (C4 (Web Text))

Max Activating Token Index: 255

Text #3

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Max Act: 0.0774. Min Act: -0.0003

Data Index: 88861 (C4 (Web Text))

Max Activating Token Index: 280

Text #4

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Max Act: 0.0743. Min Act: -0.0003

Data Index: 733331 (C4 (Web Text))

Max Activating Token Index: 167

Text #5

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Max Act: 0.0769. Min Act: -0.0003

Data Index: 661883 (C4 (Web Text))

Max Activating Token Index: 165

Text #6

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Max Activating Token Index: 24

Text #7

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Max Activating Token Index: 297

Text #9

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Max Activating Token Index: 139

Text #10

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Max Activating Token Index: 376

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Max Activating Token Index: 149

Text #12

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Max Activating Token Index: 537

Text #13

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Max Activating Token Index: 30

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 377

Text #19

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Data Index: 928561 (C4 (Web Text))

Max Activating Token Index: 132