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

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

Neuron 4223 in Layer 2

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: 0.0280. Min Act: -0.0002

Data Index: 1097107 (C4 (Web Text))

Max Activating Token Index: 291

Text #1

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Data Index: 1232040 (C4 (Web Text))

Max Activating Token Index: 923

Text #2

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Max Act: 0.0245. Min Act: -0.0002

Data Index: 1029760 (C4 (Web Text))

Max Activating Token Index: 55

Text #3

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Max Act: 0.0233. Min Act: -0.0002

Data Index: 1163198 (C4 (Web Text))

Max Activating Token Index: 111

Text #4

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Data Index: 1011651 (C4 (Web Text))

Max Activating Token Index: 897

Text #5

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Data Index: 653162 (C4 (Web Text))

Max Activating Token Index: 883

Text #6

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Max Activating Token Index: 228

Text #7

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Max Activating Token Index: 120

Text #8

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Max Activating Token Index: 184

Text #9

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Max Activating Token Index: 724

Text #10

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Data Index: 206886 (C4 (Web Text))

Max Activating Token Index: 248

Text #11

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Data Index: 813792 (C4 (Web Text))

Max Activating Token Index: 269

Text #12

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Data Index: 119577 (C4 (Web Text))

Max Activating Token Index: 56

Text #13

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Data Index: 598786 (C4 (Web Text))

Max Activating Token Index: 408

Text #14

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Data Index: 121419 (C4 (Web Text))

Max Activating Token Index: 210

Text #15

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Max Activating Token Index: 343

Text #16

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Text #17

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Max Activating Token Index: 108

Text #18

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Data Index: 1226063 (C4 (Web Text))

Max Activating Token Index: 276

Text #19

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Data Index: 821292 (C4 (Web Text))

Max Activating Token Index: 443