Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1585 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0829. Min Act: -0.0003

Data Index: 553107 (C4 (Web Text))

Max Activating Token Index: 604

Text #1

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Max Act: 0.0819. Min Act: -0.0003

Data Index: 880758 (C4 (Web Text))

Max Activating Token Index: 259

Text #2

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Max Act: 0.0772. Min Act: -0.0003

Data Index: 827963 (C4 (Web Text))

Max Activating Token Index: 8

Text #3

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Max Act: 0.0736. Min Act: -0.0003

Data Index: 306156 (C4 (Web Text))

Max Activating Token Index: 367

Text #4

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Max Act: 0.0750. Min Act: -0.0004

Data Index: 398013 (C4 (Web Text))

Max Activating Token Index: 875

Text #5

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Max Act: 0.0747. Min Act: -0.0003

Data Index: 1099352 (C4 (Web Text))

Max Activating Token Index: 354

Text #6

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Data Index: 214033 (C4 (Web Text))

Max Activating Token Index: 236

Text #7

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Max Activating Token Index: 23

Text #8

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Data Index: 942026 (C4 (Web Text))

Max Activating Token Index: 384

Text #9

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Data Index: 595754 (C4 (Web Text))

Max Activating Token Index: 175

Text #10

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Max Activating Token Index: 34

Text #11

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Data Index: 495838 (C4 (Web Text))

Max Activating Token Index: 552

Text #12

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Max Activating Token Index: 564

Text #13

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Data Index: 886569 (C4 (Web Text))

Max Activating Token Index: 474

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: 659

Text #19

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Data Index: 1269789 (C4 (Web Text))

Max Activating Token Index: 299