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

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

Neuron 45 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: 0.0220. Min Act: -0.0003

Data Index: 872496 (C4 (Web Text))

Max Activating Token Index: 701

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Text #1

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Max Act: 0.0200. Min Act: -0.0003

Data Index: 961253 (C4 (Web Text))

Max Activating Token Index: 582

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Text #2

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 370890 (C4 (Web Text))

Max Activating Token Index: 421

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Text #3

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Data Index: 1177326 (C4 (Web Text))

Max Activating Token Index: 557

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Text #4

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Data Index: 915896 (C4 (Web Text))

Max Activating Token Index: 113

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Text #5

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Data Index: 1031349 (C4 (Web Text))

Max Activating Token Index: 997

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Text #6

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Data Index: 1013156 (C4 (Web Text))

Max Activating Token Index: 499

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Text #7

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Data Index: 720718 (C4 (Web Text))

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Text #8

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Data Index: 169509 (C4 (Web Text))

Max Activating Token Index: 507

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Text #9

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Data Index: 767109 (C4 (Web Text))

Max Activating Token Index: 241

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Text #10

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Data Index: 1130294 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 632360 (C4 (Web Text))

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Text #13

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Data Index: 240250 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1123463 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 837147 (C4 (Web Text))

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Text #18

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Data Index: 1090155 (C4 (Web Text))

Max Activating Token Index: 626

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Text #19

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Data Index: 49714 (C4 (Web Text))

Max Activating Token Index: 267

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