Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1313 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0223. Min Act: -0.0003

Data Index: 382934 (C4 (Web Text))

Max Activating Token Index: 849

Text #1

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Data Index: 744079 (C4 (Web Text))

Max Activating Token Index: 58

Text #2

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Max Act: 0.0194. Min Act: -0.0003

Data Index: 512084 (C4 (Web Text))

Max Activating Token Index: 314

Text #3

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Max Act: 0.0193. Min Act: -0.0003

Data Index: 498074 (C4 (Web Text))

Max Activating Token Index: 412

Text #4

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Data Index: 962568 (C4 (Web Text))

Max Activating Token Index: 743

Text #5

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Data Index: 342975 (C4 (Web Text))

Max Activating Token Index: 379

Text #6

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Data Index: 209357 (C4 (Web Text))

Max Activating Token Index: 431

Text #7

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Data Index: 322823 (C4 (Web Text))

Max Activating Token Index: 528

Text #8

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Max Activating Token Index: 80

Text #9

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Max Activating Token Index: 843

Text #10

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Max Activating Token Index: 619

Text #11

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Data Index: 1170269 (C4 (Web Text))

Max Activating Token Index: 328

Text #12

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Max Activating Token Index: 62

Text #13

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Data Index: 248408 (C4 (Web Text))

Max Activating Token Index: 503

Text #14

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Data Index: 41143 (C4 (Web Text))

Max Activating Token Index: 215

Text #15

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Text #16

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Max Activating Token Index: 392

Text #17

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Max Activating Token Index: 493

Text #18

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Max Activating Token Index: 589

Text #19

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Data Index: 422793 (C4 (Web Text))

Max Activating Token Index: 67