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

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

Neuron 2812 in Layer 1

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: 0.0230. Min Act: -0.0003

Data Index: 110996 (C4 (Web Text))

Max Activating Token Index: 565

Text #1

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Data Index: 316219 (C4 (Web Text))

Max Activating Token Index: 710

Text #2

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Max Act: 0.0220. Min Act: -0.0003

Data Index: 953592 (C4 (Web Text))

Max Activating Token Index: 22

Text #3

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Data Index: 641554 (C4 (Web Text))

Max Activating Token Index: 904

Text #4

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Data Index: 1140935 (C4 (Web Text))

Max Activating Token Index: 94

Text #5

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Data Index: 648819 (C4 (Web Text))

Max Activating Token Index: 262

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 848

Text #10

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Max Activating Token Index: 112

Text #11

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Max Activating Token Index: 893

Text #12

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Max Activating Token Index: 357

Text #13

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Max Activating Token Index: 787

Text #14

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Data Index: 23360 (C4 (Web Text))

Max Activating Token Index: 543

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 51

Text #18

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Text #19

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Data Index: 590245 (C4 (Web Text))

Max Activating Token Index: 511