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

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

Neuron 2200 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: 0.0631. Min Act: -0.0003

Data Index: 1287680 (C4 (Web Text))

Max Activating Token Index: 251

Text #1

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Max Act: 0.0513. Min Act: -0.0003

Data Index: 645478 (C4 (Web Text))

Max Activating Token Index: 949

Text #2

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Max Act: 0.0543. Min Act: -0.0003

Data Index: 44010 (C4 (Web Text))

Max Activating Token Index: 879

Text #3

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Max Act: 0.0537. Min Act: -0.0003

Data Index: 617779 (C4 (Web Text))

Max Activating Token Index: 380

Text #4

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Max Act: 0.0529. Min Act: -0.0003

Data Index: 980825 (C4 (Web Text))

Max Activating Token Index: 829

Text #5

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Max Act: 0.0475. Min Act: -0.0003

Data Index: 749974 (C4 (Web Text))

Max Activating Token Index: 812

Text #6

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Data Index: 499887 (C4 (Web Text))

Max Activating Token Index: 750

Text #7

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Max Activating Token Index: 905

Text #8

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Max Activating Token Index: 653

Text #9

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Data Index: 630774 (C4 (Web Text))

Max Activating Token Index: 960

Text #10

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Data Index: 776394 (C4 (Web Text))

Max Activating Token Index: 111

Text #11

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Max Activating Token Index: 995

Text #12

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Max Activating Token Index: 459

Text #13

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Data Index: 613199 (C4 (Web Text))

Max Activating Token Index: 707

Text #14

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Data Index: 444666 (C4 (Web Text))

Max Activating Token Index: 801

Text #15

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Text #16

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Max Activating Token Index: 940

Text #17

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Max Activating Token Index: 815

Text #18

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Data Index: 563742 (C4 (Web Text))

Max Activating Token Index: 864

Text #19

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Data Index: 514795 (C4 (Web Text))

Max Activating Token Index: 845