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

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

Neuron 2038 in Layer 1

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: 1093630 (C4 (Web Text))

Max Activating Token Index: 448

Text #1

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Data Index: 1094793 (C4 (Web Text))

Max Activating Token Index: 899

Text #2

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Max Act: 0.0255. Min Act: -0.0006

Data Index: 504176 (C4 (Web Text))

Max Activating Token Index: 691

Text #3

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Max Act: 0.0245. Min Act: -0.0006

Data Index: 757908 (C4 (Web Text))

Max Activating Token Index: 610

Text #4

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Data Index: 736757 (C4 (Web Text))

Max Activating Token Index: 718

Text #5

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Max Activating Token Index: 658

Text #6

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Max Activating Token Index: 173

Text #7

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Max Activating Token Index: 551

Text #8

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Max Activating Token Index: 774

Text #9

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Max Activating Token Index: 117

Text #10

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Max Activating Token Index: 671

Text #11

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Max Activating Token Index: 75

Text #12

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Max Activating Token Index: 424

Text #13

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Data Index: 156183 (C4 (Web Text))

Max Activating Token Index: 833

Text #14

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Max Activating Token Index: 742

Text #15

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Max Activating Token Index: 397

Text #16

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Max Activating Token Index: 535

Text #17

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Max Activating Token Index: 879

Text #18

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Data Index: 550392 (C4 (Web Text))

Max Activating Token Index: 85

Text #19

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Data Index: 911338 (C4 (Web Text))

Max Activating Token Index: 214