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

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

Neuron 1880 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 550222 (C4 (Web Text))

Max Activating Token Index: 287

Text #1

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Max Activating Token Index: 292

Text #2

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Max Act: 0.0516. Min Act: -0.0005

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Max Activating Token Index: 677

Text #3

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Data Index: 144841 (C4 (Web Text))

Max Activating Token Index: 819

Text #4

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Data Index: 362903 (C4 (Web Text))

Max Activating Token Index: 897

Text #5

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Max Activating Token Index: 502

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 366

Text #9

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Max Activating Token Index: 997

Text #10

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Data Index: 77737 (C4 (Web Text))

Max Activating Token Index: 549

Text #11

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Max Activating Token Index: 762

Text #12

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Max Activating Token Index: 702

Text #13

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Max Activating Token Index: 620

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 797

Text #18

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Max Activating Token Index: 728

Text #19

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Data Index: 1104167 (C4 (Web Text))

Max Activating Token Index: 474