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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1434 in Layer 11

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.9827. Min Act: -0.0000

Data Index: 1183164 (C4 (Web Text))

Max Activating Token Index: 502

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Text #1

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Max Act: 1.6238. Min Act: -0.0000

Data Index: 1033553 (C4 (Web Text))

Max Activating Token Index: 432

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Text #2

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Max Act: 1.6880. Min Act: -0.0000

Data Index: 705493 (C4 (Web Text))

Max Activating Token Index: 493

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Text #3

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Max Act: 1.0979. Min Act: -0.0000

Data Index: 1602559 (Python Code)

Max Activating Token Index: 331

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Text #4

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Max Act: 0.9654. Min Act: -0.0000

Data Index: 238187 (C4 (Web Text))

Max Activating Token Index: 510

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Text #5

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Data Index: 377014 (C4 (Web Text))

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Text #6

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Data Index: 1427066 (Python Code)

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Text #7

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Data Index: 829443 (C4 (Web Text))

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Text #8

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Data Index: 456902 (C4 (Web Text))

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Text #9

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Data Index: 1073589 (C4 (Web Text))

Max Activating Token Index: 125

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Text #10

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Text #11

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Text #12

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Data Index: 350382 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 603994 (C4 (Web Text))

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Text #15

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Data Index: 443863 (C4 (Web Text))

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Text #16

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Data Index: 814503 (C4 (Web Text))

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Text #17

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Data Index: 981841 (C4 (Web Text))

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Text #18

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Data Index: 575679 (C4 (Web Text))

Max Activating Token Index: 671

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Text #19

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Data Index: 1172830 (C4 (Web Text))

Max Activating Token Index: 446

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