Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1965 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 235859 (C4 (Web Text))

Max Activating Token Index: 569

Text #1

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Data Index: 1240691 (C4 (Web Text))

Max Activating Token Index: 449

Text #2

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Max Activating Token Index: 728

Text #3

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Max Act: 0.0309. Min Act: -0.0002

Data Index: 1216590 (C4 (Web Text))

Max Activating Token Index: 782

Text #4

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Data Index: 1257035 (C4 (Web Text))

Max Activating Token Index: 864

Text #5

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Data Index: 389378 (C4 (Web Text))

Max Activating Token Index: 314

Text #6

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Max Activating Token Index: 435

Text #7

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Max Activating Token Index: 694

Text #8

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Max Activating Token Index: 699

Text #9

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Max Activating Token Index: 274

Text #10

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Max Activating Token Index: 905

Text #11

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Data Index: 663370 (C4 (Web Text))

Max Activating Token Index: 554

Text #12

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Max Activating Token Index: 855

Text #13

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Max Activating Token Index: 342

Text #14

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Max Activating Token Index: 820

Text #15

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Text #16

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Max Activating Token Index: 160

Text #17

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Max Activating Token Index: 692

Text #18

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Max Activating Token Index: 326

Text #19

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Data Index: 621759 (C4 (Web Text))

Max Activating Token Index: 817