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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0420. Min Act: -0.0001

Data Index: 850053 (C4 (Web Text))

Max Activating Token Index: 785

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Text #1

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Data Index: 591006 (C4 (Web Text))

Max Activating Token Index: 818

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Text #2

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Data Index: 451824 (C4 (Web Text))

Max Activating Token Index: 698

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Text #3

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Data Index: 561096 (C4 (Web Text))

Max Activating Token Index: 766

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Text #4

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Data Index: 732446 (C4 (Web Text))

Max Activating Token Index: 488

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Text #5

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Data Index: 884654 (C4 (Web Text))

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Text #6

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Data Index: 287039 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 128268 (C4 (Web Text))

Max Activating Token Index: 891

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Text #9

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Data Index: 1270088 (C4 (Web Text))

Max Activating Token Index: 724

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Text #10

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Text #11

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Text #12

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Data Index: 1017165 (C4 (Web Text))

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Text #13

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Data Index: 913235 (C4 (Web Text))

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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: 565737 (C4 (Web Text))

Max Activating Token Index: 875

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Text #19

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Data Index: 1168997 (C4 (Web Text))

Max Activating Token Index: 779

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