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

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

Neuron 22 in Layer 4

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: 2.4600. Min Act: -0.0000

Data Index: 1237046 (C4 (Web Text))

Max Activating Token Index: 24

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Text #1

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Data Index: 945536 (C4 (Web Text))

Max Activating Token Index: 391

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Text #2

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Data Index: 633635 (C4 (Web Text))

Max Activating Token Index: 840

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Text #3

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Data Index: 557794 (C4 (Web Text))

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Text #4

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Data Index: 193769 (C4 (Web Text))

Max Activating Token Index: 634

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Text #5

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Data Index: 605959 (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: 319929 (C4 (Web Text))

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Text #9

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Data Index: 1095847 (C4 (Web Text))

Max Activating Token Index: 43

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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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Text #18

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Data Index: 349484 (C4 (Web Text))

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Text #19

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Max Activating Token Index: 954

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