Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1965 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0797. Min Act: -0.0005

Data Index: 1270697 (C4 (Web Text))

Max Activating Token Index: 124

Text #1

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Max Activating Token Index: 427

Text #2

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Max Activating Token Index: 858

Text #3

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Max Act: 0.0830. Min Act: -0.0005

Data Index: 1006372 (C4 (Web Text))

Max Activating Token Index: 889

Text #4

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Data Index: 1096390 (C4 (Web Text))

Max Activating Token Index: 323

Text #5

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Max Activating Token Index: 572

Text #6

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Max Activating Token Index: 926

Text #7

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Max Activating Token Index: 458

Text #8

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Max Activating Token Index: 739

Text #9

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Max Activating Token Index: 858

Text #10

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Data Index: 855300 (C4 (Web Text))

Max Activating Token Index: 526

Text #11

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Max Activating Token Index: 645

Text #12

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Data Index: 380382 (C4 (Web Text))

Max Activating Token Index: 553

Text #13

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Max Activating Token Index: 728

Text #14

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Max Activating Token Index: 83

Text #15

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Text #16

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Max Activating Token Index: 451

Text #17

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Max Activating Token Index: 460

Text #18

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Max Activating Token Index: 698

Text #19

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Max Act: 0.0794. Min Act: -0.0005

Data Index: 278834 (C4 (Web Text))

Max Activating Token Index: 912