Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1863 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 1092021 (C4 (Web Text))

Max Activating Token Index: 556

Text #1

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Max Activating Token Index: 384

Text #2

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Max Activating Token Index: 746

Text #3

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Data Index: 162890 (C4 (Web Text))

Max Activating Token Index: 971

Text #4

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Data Index: 443647 (C4 (Web Text))

Max Activating Token Index: 506

Text #5

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Max Activating Token Index: 651

Text #6

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Max Activating Token Index: 411

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Text #10

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Max Activating Token Index: 319

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Max Activating Token Index: 565

Text #12

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Text #13

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Max Activating Token Index: 650

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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Text #19

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Data Index: 808554 (C4 (Web Text))

Max Activating Token Index: 419