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

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

Neuron 3032 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: 1.6308. Min Act: -0.0000

Data Index: 1608173 (Python Code)

Max Activating Token Index: 638

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Text #1

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Data Index: 272579 (C4 (Web Text))

Max Activating Token Index: 44

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Text #2

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Max Act: 1.6604. Min Act: -0.0000

Data Index: 1473924 (Python Code)

Max Activating Token Index: 769

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Text #3

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Data Index: 1192619 (C4 (Web Text))

Max Activating Token Index: 123

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Text #4

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Data Index: 735165 (C4 (Web Text))

Max Activating Token Index: 172

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Text #5

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Data Index: 138035 (C4 (Web Text))

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Text #6

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Data Index: 177500 (C4 (Web Text))

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Text #7

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Data Index: 713288 (C4 (Web Text))

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Text #8

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Data Index: 904331 (C4 (Web Text))

Max Activating Token Index: 408

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Text #9

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Data Index: 1127899 (C4 (Web Text))

Max Activating Token Index: 220

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Text #10

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Data Index: 290476 (C4 (Web Text))

Max Activating Token Index: 766

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Text #11

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Text #12

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Text #13

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Data Index: 1000453 (C4 (Web Text))

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Text #14

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Data Index: 172316 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 904954 (C4 (Web Text))

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Text #18

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Data Index: 568016 (C4 (Web Text))

Max Activating Token Index: 304

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Text #19

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Data Index: 471728 (C4 (Web Text))

Max Activating Token Index: 833

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