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

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

Neuron 2029 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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Data Index: 1295328 (C4 (Web Text))

Max Activating Token Index: 340

Text #1

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Max Activating Token Index: 211

Text #2

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Max Act: 0.0134. Min Act: -0.0005

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Max Activating Token Index: 228

Text #3

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Max Act: 0.0134. Min Act: -0.0005

Data Index: 204292 (C4 (Web Text))

Max Activating Token Index: 736

Text #4

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Max Activating Token Index: 687

Text #5

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Max Activating Token Index: 459

Text #6

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Data Index: 381393 (C4 (Web Text))

Max Activating Token Index: 539

Text #7

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Max Activating Token Index: 802

Text #8

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Max Activating Token Index: 385

Text #9

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Max Activating Token Index: 825

Text #10

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Data Index: 834040 (C4 (Web Text))

Max Activating Token Index: 347

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Max Activating Token Index: 473

Text #12

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Max Activating Token Index: 518

Text #13

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Max Activating Token Index: 344

Text #14

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Text #15

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Max Activating Token Index: 485

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 354

Text #19

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Data Index: 1211879 (C4 (Web Text))

Max Activating Token Index: 306