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

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

Neuron 1758 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 327886 (C4 (Web Text))

Max Activating Token Index: 622

Text #1

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Max Act: 0.0652. Min Act: -0.0005

Data Index: 418456 (C4 (Web Text))

Max Activating Token Index: 498

Text #2

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Max Act: 0.0608. Min Act: -0.0005

Data Index: 360556 (C4 (Web Text))

Max Activating Token Index: 492

Text #3

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Max Act: 0.0651. Min Act: -0.0005

Data Index: 545050 (C4 (Web Text))

Max Activating Token Index: 169

Text #4

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Data Index: 293338 (C4 (Web Text))

Max Activating Token Index: 581

Text #5

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Max Activating Token Index: 639

Text #6

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Max Activating Token Index: 450

Text #7

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Max Activating Token Index: 354

Text #8

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Max Activating Token Index: 558

Text #9

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Max Activating Token Index: 964

Text #10

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Max Activating Token Index: 214

Text #11

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Max Activating Token Index: 83

Text #12

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Max Activating Token Index: 43

Text #13

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Max Activating Token Index: 577

Text #14

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Max Activating Token Index: 181

Text #15

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Max Activating Token Index: 605

Text #16

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Max Activating Token Index: 205

Text #17

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Max Activating Token Index: 690

Text #18

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Max Activating Token Index: 706

Text #19

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Data Index: 482377 (C4 (Web Text))

Max Activating Token Index: 137