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

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

Neuron 5092 in Layer 7

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: 0.7842. Min Act: 0.0000

Data Index: 969698 (C4 (Web Text))

Max Activating Token Index: 45

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Text #1

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Data Index: 46691 (C4 (Web Text))

Max Activating Token Index: 374

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Text #2

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Data Index: 554523 (C4 (Web Text))

Max Activating Token Index: 645

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Text #3

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Data Index: 723051 (C4 (Web Text))

Max Activating Token Index: 804

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Text #4

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Data Index: 251349 (C4 (Web Text))

Max Activating Token Index: 32

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Text #5

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Data Index: 564331 (C4 (Web Text))

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Text #6

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Data Index: 1291245 (C4 (Web Text))

Max Activating Token Index: 205

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Text #7

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Data Index: 168370 (C4 (Web Text))

Max Activating Token Index: 364

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Text #8

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Data Index: 1196482 (C4 (Web Text))

Max Activating Token Index: 767

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Text #9

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Data Index: 480438 (C4 (Web Text))

Max Activating Token Index: 190

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Text #10

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Data Index: 1076061 (C4 (Web Text))

Max Activating Token Index: 1001

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Text #11

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Text #12

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Data Index: 810655 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 959225 (C4 (Web Text))

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Text #15

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Data Index: 256561 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 169190 (C4 (Web Text))

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Text #18

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Data Index: 527090 (C4 (Web Text))

Max Activating Token Index: 561

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Text #19

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Data Index: 97531 (C4 (Web Text))

Max Activating Token Index: 601

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