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

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

Neuron 2922 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



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Max Act: 1.6063. Min Act: -0.0001

Data Index: 1324581 (C4 (Web Text))

Max Activating Token Index: 431

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Text #1

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Max Act: 1.4704. Min Act: -0.0001

Data Index: 43027 (C4 (Web Text))

Max Activating Token Index: 558

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Text #2

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Max Act: 1.3251. Min Act: -0.0001

Data Index: 1499067 (Python Code)

Max Activating Token Index: 687

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Text #3

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Data Index: 1588860 (Python Code)

Max Activating Token Index: 871

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Text #4

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Data Index: 1557725 (Python Code)

Max Activating Token Index: 77

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Text #5

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Data Index: 1614841 (Python Code)

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Text #6

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Data Index: 1366020 (Python Code)

Max Activating Token Index: 656

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Text #7

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Data Index: 1424076 (Python Code)

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Text #8

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Data Index: 1636143 (Python Code)

Max Activating Token Index: 272

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Text #9

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Data Index: 1473598 (Python Code)

Max Activating Token Index: 937

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Text #10

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Data Index: 1626831 (Python Code)

Max Activating Token Index: 44

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Text #11

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Data Index: 1469967 (Python Code)

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Text #12

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Text #13

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Data Index: 1442957 (Python Code)

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Text #14

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Data Index: 1397864 (Python Code)

Max Activating Token Index: 327

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Text #15

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Text #16

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Text #17

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Data Index: 1593391 (Python Code)

Max Activating Token Index: 538

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Text #18

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Data Index: 1434781 (Python Code)

Max Activating Token Index: 668

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Text #19

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Data Index: 1406555 (Python Code)

Max Activating Token Index: 118

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