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

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

Neuron 255 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: 0.0805. Min Act: -0.0002

Data Index: 545459 (C4 (Web Text))

Max Activating Token Index: 967

Text #1

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Max Act: 0.0759. Min Act: -0.0002

Data Index: 788361 (C4 (Web Text))

Max Activating Token Index: 1001

Text #2

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Max Act: 0.0732. Min Act: -0.0002

Data Index: 645115 (C4 (Web Text))

Max Activating Token Index: 740

Text #3

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Max Act: 0.0756. Min Act: -0.0002

Data Index: 709410 (C4 (Web Text))

Max Activating Token Index: 84

Text #4

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Max Act: 0.0691. Min Act: -0.0002

Data Index: 130630 (C4 (Web Text))

Max Activating Token Index: 763

Text #5

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Data Index: 747832 (C4 (Web Text))

Max Activating Token Index: 909

Text #6

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Data Index: 97147 (C4 (Web Text))

Max Activating Token Index: 111

Text #7

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Max Activating Token Index: 45

Text #8

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Data Index: 840235 (C4 (Web Text))

Max Activating Token Index: 439

Text #9

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Max Activating Token Index: 206

Text #10

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Data Index: 720440 (C4 (Web Text))

Max Activating Token Index: 908

Text #11

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Data Index: 2809 (C4 (Web Text))

Max Activating Token Index: 977

Text #12

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Data Index: 626042 (C4 (Web Text))

Max Activating Token Index: 112

Text #13

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Data Index: 665870 (C4 (Web Text))

Max Activating Token Index: 9

Text #14

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Data Index: 86669 (C4 (Web Text))

Max Activating Token Index: 29

Text #15

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Max Activating Token Index: 830

Text #16

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Max Activating Token Index: 596

Text #17

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Max Activating Token Index: 376

Text #18

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Data Index: 153318 (C4 (Web Text))

Max Activating Token Index: 144

Text #19

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Max Act: 0.0533. Min Act: -0.0002

Data Index: 287601 (C4 (Web Text))

Max Activating Token Index: 383