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

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

Neuron 1866 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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Data Index: 1509531 (Python Code)

Max Activating Token Index: 529

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Text #1

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Data Index: 748077 (C4 (Web Text))

Max Activating Token Index: 644

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Text #2

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Data Index: 401872 (C4 (Web Text))

Max Activating Token Index: 950

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Text #3

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Data Index: 404837 (C4 (Web Text))

Max Activating Token Index: 725

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Text #4

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Data Index: 382656 (C4 (Web Text))

Max Activating Token Index: 200

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Text #5

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Data Index: 646358 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1338840 (C4 (Web Text))

Max Activating Token Index: 265

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Text #9

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Data Index: 643325 (C4 (Web Text))

Max Activating Token Index: 579

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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: 257753 (C4 (Web Text))

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Text #18

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Data Index: 854636 (C4 (Web Text))

Max Activating Token Index: 399

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Text #19

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Data Index: 781549 (C4 (Web Text))

Max Activating Token Index: 487

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