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

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

Neuron 1212 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: 0.0437. Min Act: -0.0003

Data Index: 325573 (C4 (Web Text))

Max Activating Token Index: 59

Text #1

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 1089531 (C4 (Web Text))

Max Activating Token Index: 825

Text #2

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Max Act: 0.0394. Min Act: -0.0003

Data Index: 1034662 (C4 (Web Text))

Max Activating Token Index: 31

Text #3

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Max Act: 0.0411. Min Act: -0.0003

Data Index: 687440 (C4 (Web Text))

Max Activating Token Index: 405

Text #4

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Max Act: 0.0400. Min Act: -0.0003

Data Index: 283753 (C4 (Web Text))

Max Activating Token Index: 694

Text #5

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Max Act: 0.0396. Min Act: -0.0002

Data Index: 596184 (C4 (Web Text))

Max Activating Token Index: 704

Text #6

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Data Index: 806133 (C4 (Web Text))

Max Activating Token Index: 903

Text #7

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Data Index: 676864 (C4 (Web Text))

Max Activating Token Index: 88

Text #8

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Data Index: 24416 (C4 (Web Text))

Max Activating Token Index: 802

Text #9

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Data Index: 67195 (C4 (Web Text))

Max Activating Token Index: 215

Text #10

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Max Activating Token Index: 552

Text #11

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Data Index: 836100 (C4 (Web Text))

Max Activating Token Index: 363

Text #12

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Max Activating Token Index: 385

Text #13

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Max Activating Token Index: 767

Text #14

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Data Index: 867962 (C4 (Web Text))

Max Activating Token Index: 189

Text #15

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Text #16

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Max Activating Token Index: 790

Text #17

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Max Activating Token Index: 74

Text #18

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Data Index: 228377 (C4 (Web Text))

Max Activating Token Index: 350

Text #19

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Data Index: 1259975 (C4 (Web Text))

Max Activating Token Index: 225