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

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

Neuron 1980 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0345. Min Act: -0.0003

Data Index: 1231352 (C4 (Web Text))

Max Activating Token Index: 530

Text #1

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Max Act: 0.0331. Min Act: -0.0003

Data Index: 822374 (C4 (Web Text))

Max Activating Token Index: 172

Text #2

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Max Act: 0.0318. Min Act: -0.0003

Data Index: 513144 (C4 (Web Text))

Max Activating Token Index: 380

Text #3

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 1229564 (C4 (Web Text))

Max Activating Token Index: 157

Text #4

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Max Act: 0.0286. Min Act: -0.0003

Data Index: 837305 (C4 (Web Text))

Max Activating Token Index: 827

Text #5

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Max Activating Token Index: 180

Text #6

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Max Activating Token Index: 141

Text #7

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Max Activating Token Index: 966

Text #8

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Max Activating Token Index: 790

Text #9

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Max Activating Token Index: 781

Text #10

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Data Index: 636708 (C4 (Web Text))

Max Activating Token Index: 147

Text #11

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Data Index: 56146 (C4 (Web Text))

Max Activating Token Index: 197

Text #12

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Max Activating Token Index: 30

Text #13

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Max Activating Token Index: 788

Text #14

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Data Index: 109147 (C4 (Web Text))

Max Activating Token Index: 152

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 652

Text #18

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Max Activating Token Index: 705

Text #19

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Data Index: 817396 (C4 (Web Text))

Max Activating Token Index: 294