Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 760 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0844. Min Act: -0.0003

Data Index: 1147492 (C4 (Web Text))

Max Activating Token Index: 872

Text #1

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Data Index: 1046004 (C4 (Web Text))

Max Activating Token Index: 172

Text #2

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Max Act: 0.0718. Min Act: -0.0003

Data Index: 663130 (C4 (Web Text))

Max Activating Token Index: 288

Text #3

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Max Act: 0.0686. Min Act: -0.0003

Data Index: 818845 (C4 (Web Text))

Max Activating Token Index: 226

Text #4

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Max Act: 0.0691. Min Act: -0.0003

Data Index: 228698 (C4 (Web Text))

Max Activating Token Index: 313

Text #5

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Max Activating Token Index: 242

Text #6

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Data Index: 158389 (C4 (Web Text))

Max Activating Token Index: 636

Text #7

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Max Activating Token Index: 1019

Text #8

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Max Activating Token Index: 512

Text #9

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Max Activating Token Index: 570

Text #10

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Max Activating Token Index: 487

Text #11

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Max Activating Token Index: 873

Text #12

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Max Activating Token Index: 398

Text #13

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Max Activating Token Index: 460

Text #14

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Max Activating Token Index: 297

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: 70

Text #19

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Data Index: 1229049 (C4 (Web Text))

Max Activating Token Index: 426