Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1825 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0282. Min Act: -0.0003

Data Index: 196241 (C4 (Web Text))

Max Activating Token Index: 140

Text #1

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Max Activating Token Index: 144

Text #2

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Max Act: 0.0259. Min Act: -0.0003

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Max Activating Token Index: 995

Text #3

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Max Act: 0.0267. Min Act: -0.0003

Data Index: 987215 (C4 (Web Text))

Max Activating Token Index: 193

Text #4

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Max Act: 0.0262. Min Act: -0.0003

Data Index: 455505 (C4 (Web Text))

Max Activating Token Index: 468

Text #5

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Max Activating Token Index: 795

Text #6

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Max Activating Token Index: 659

Text #7

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Text #8

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Max Activating Token Index: 596

Text #9

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Max Activating Token Index: 251

Text #10

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Max Activating Token Index: 102

Text #12

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Max Activating Token Index: 376

Text #13

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Max Activating Token Index: 942

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: 249

Text #18

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Max Activating Token Index: 569

Text #19

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Data Index: 54748 (C4 (Web Text))

Max Activating Token Index: 439