Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1059 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 522528 (C4 (Web Text))

Max Activating Token Index: 467

Text #1

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Max Activating Token Index: 677

Text #2

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Max Activating Token Index: 912

Text #3

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Data Index: 347646 (C4 (Web Text))

Max Activating Token Index: 750

Text #4

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Max Activating Token Index: 621

Text #5

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Max Activating Token Index: 371

Text #6

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Max Activating Token Index: 781

Text #10

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Max Activating Token Index: 332

Text #11

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Max Activating Token Index: 346

Text #12

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Max Activating Token Index: 704

Text #13

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Max Activating Token Index: 156

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 488

Text #18

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Text #19

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Data Index: 257131 (C4 (Web Text))

Max Activating Token Index: 405