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

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

Neuron 1260 in Layer 1

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: 455194 (C4 (Web Text))

Max Activating Token Index: 745

Text #1

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Max Activating Token Index: 10

Text #2

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Data Index: 116691 (C4 (Web Text))

Max Activating Token Index: 628

Text #3

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Data Index: 685881 (C4 (Web Text))

Max Activating Token Index: 915

Text #4

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Max Activating Token Index: 645

Text #5

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Max Activating Token Index: 761

Text #6

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Max Activating Token Index: 730

Text #7

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Max Activating Token Index: 936

Text #8

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Max Activating Token Index: 431

Text #9

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Max Activating Token Index: 463

Text #10

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Text #11

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Max Activating Token Index: 167

Text #12

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Max Activating Token Index: 289

Text #13

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Max Activating Token Index: 740

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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Max Activating Token Index: 357

Text #19

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Data Index: 604020 (C4 (Web Text))

Max Activating Token Index: 955