Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2275 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0802. Min Act: -0.0003

Data Index: 64079 (C4 (Web Text))

Max Activating Token Index: 835

Text #1

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Max Act: 0.0790. Min Act: -0.0003

Data Index: 1246727 (C4 (Web Text))

Max Activating Token Index: 51

Text #2

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Max Act: 0.0739. Min Act: -0.0003

Data Index: 984841 (C4 (Web Text))

Max Activating Token Index: 1015

Text #3

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Max Act: 0.0730. Min Act: -0.0003

Data Index: 378994 (C4 (Web Text))

Max Activating Token Index: 334

Text #4

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Max Act: 0.0656. Min Act: -0.0003

Data Index: 860757 (C4 (Web Text))

Max Activating Token Index: 801

Text #5

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Max Act: 0.0726. Min Act: -0.0003

Data Index: 1182239 (C4 (Web Text))

Max Activating Token Index: 319

Text #6

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Data Index: 300578 (C4 (Web Text))

Max Activating Token Index: 270

Text #7

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Data Index: 918631 (C4 (Web Text))

Max Activating Token Index: 479

Text #8

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Data Index: 458125 (C4 (Web Text))

Max Activating Token Index: 221

Text #9

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Data Index: 208378 (C4 (Web Text))

Max Activating Token Index: 760

Text #10

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Max Activating Token Index: 266

Text #11

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Data Index: 982004 (C4 (Web Text))

Max Activating Token Index: 698

Text #12

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Max Activating Token Index: 1015

Text #13

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Data Index: 759709 (C4 (Web Text))

Max Activating Token Index: 798

Text #14

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Data Index: 1652186 (Python Code)

Max Activating Token Index: 509

Text #15

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Data Index: 219920 (C4 (Web Text))

Max Activating Token Index: 183

Text #16

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Max Activating Token Index: 361

Text #17

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Max Activating Token Index: 731

Text #18

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Data Index: 518882 (C4 (Web Text))

Max Activating Token Index: 709

Text #19

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Data Index: 13674 (C4 (Web Text))

Max Activating Token Index: 523