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

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

Neuron 2930 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: 0.0483. Min Act: -0.0002

Data Index: 287836 (C4 (Web Text))

Max Activating Token Index: 286

Text #1

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Max Act: 0.0439. Min Act: -0.0002

Data Index: 1201058 (C4 (Web Text))

Max Activating Token Index: 34

Text #2

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Max Act: 0.0415. Min Act: -0.0002

Data Index: 1007435 (C4 (Web Text))

Max Activating Token Index: 75

Text #3

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Max Act: 0.0376. Min Act: -0.0002

Data Index: 26870 (C4 (Web Text))

Max Activating Token Index: 743

Text #4

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Max Act: 0.0425. Min Act: -0.0002

Data Index: 1118079 (C4 (Web Text))

Max Activating Token Index: 620

Text #5

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Data Index: 156953 (C4 (Web Text))

Max Activating Token Index: 630

Text #6

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Max Activating Token Index: 933

Text #7

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Max Activating Token Index: 492

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Max Activating Token Index: 103

Text #9

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Max Activating Token Index: 864

Text #10

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Max Activating Token Index: 176

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Max Activating Token Index: 913

Text #12

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Max Activating Token Index: 867

Text #13

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Max Activating Token Index: 322

Text #14

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Max Activating Token Index: 665

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 507

Text #18

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Data Index: 458115 (C4 (Web Text))

Max Activating Token Index: 162

Text #19

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Data Index: 766853 (C4 (Web Text))

Max Activating Token Index: 662