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

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

Neuron 4230 in Layer 3

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: 0.1193. Min Act: -0.0001

Data Index: 653487 (C4 (Web Text))

Max Activating Token Index: 33

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Text #1

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Data Index: 201661 (C4 (Web Text))

Max Activating Token Index: 525

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Text #2

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Max Act: 0.0969. Min Act: -0.0001

Data Index: 1149686 (C4 (Web Text))

Max Activating Token Index: 517

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Text #3

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Data Index: 1244901 (C4 (Web Text))

Max Activating Token Index: 273

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Text #4

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Data Index: 1319558 (C4 (Web Text))

Max Activating Token Index: 435

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Text #5

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Data Index: 818285 (C4 (Web Text))

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Text #6

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Data Index: 1302026 (C4 (Web Text))

Max Activating Token Index: 457

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Text #7

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Text #8

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Data Index: 1508669 (Python Code)

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Text #9

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Data Index: 742497 (C4 (Web Text))

Max Activating Token Index: 110

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 535684 (C4 (Web Text))

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Text #18

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Data Index: 1390855 (Python Code)

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Text #19

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Data Index: 694377 (C4 (Web Text))

Max Activating Token Index: 107

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