Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 5712 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0660. Min Act: -0.0002

Data Index: 541559 (C4 (Web Text))

Max Activating Token Index: 838

Text #1

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Max Activating Token Index: 856

Text #2

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Max Act: 0.0573. Min Act: -0.0002

Data Index: 411896 (C4 (Web Text))

Max Activating Token Index: 701

Text #3

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Max Act: 0.0523. Min Act: -0.0002

Data Index: 273395 (C4 (Web Text))

Max Activating Token Index: 620

Text #4

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Data Index: 1011555 (C4 (Web Text))

Max Activating Token Index: 661

Text #5

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Data Index: 1280682 (C4 (Web Text))

Max Activating Token Index: 239

Text #6

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Data Index: 892507 (C4 (Web Text))

Max Activating Token Index: 381

Text #7

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Data Index: 840853 (C4 (Web Text))

Max Activating Token Index: 258

Text #8

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Max Activating Token Index: 851

Text #9

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Data Index: 1011911 (C4 (Web Text))

Max Activating Token Index: 374

Text #10

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Data Index: 374516 (C4 (Web Text))

Max Activating Token Index: 484

Text #11

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Data Index: 557321 (C4 (Web Text))

Max Activating Token Index: 433

Text #12

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Max Activating Token Index: 291

Text #13

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Data Index: 1197830 (C4 (Web Text))

Max Activating Token Index: 474

Text #14

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Max Activating Token Index: 239

Text #15

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Max Activating Token Index: 714

Text #16

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Max Activating Token Index: 908

Text #17

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Max Activating Token Index: 355

Text #18

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Max Activating Token Index: 695

Text #19

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Data Index: 629727 (C4 (Web Text))

Max Activating Token Index: 192