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

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

Neuron 1888 in Layer 3

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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Max Act: 0.0768. Min Act: -0.0001

Data Index: 1325521 (C4 (Web Text))

Max Activating Token Index: 420

Text #1

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Max Act: 0.0679. Min Act: -0.0002

Data Index: 320826 (C4 (Web Text))

Max Activating Token Index: 731

Text #2

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Max Act: 0.0651. Min Act: -0.0002

Data Index: 1344695 (C4 (Web Text))

Max Activating Token Index: 173

Text #3

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Max Act: 0.0634. Min Act: -0.0002

Data Index: 772548 (C4 (Web Text))

Max Activating Token Index: 973

Text #4

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Data Index: 1051011 (C4 (Web Text))

Max Activating Token Index: 762

Text #5

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Data Index: 905514 (C4 (Web Text))

Max Activating Token Index: 918

Text #6

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Data Index: 691660 (C4 (Web Text))

Max Activating Token Index: 815

Text #7

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Max Activating Token Index: 1004

Text #8

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Max Activating Token Index: 180

Text #9

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Max Activating Token Index: 86

Text #10

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Max Activating Token Index: 86

Text #11

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Data Index: 951980 (C4 (Web Text))

Max Activating Token Index: 246

Text #12

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Data Index: 297847 (C4 (Web Text))

Max Activating Token Index: 186

Text #13

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Data Index: 18691 (C4 (Web Text))

Max Activating Token Index: 665

Text #14

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Max Activating Token Index: 672

Text #15

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Max Activating Token Index: 797

Text #16

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Max Activating Token Index: 704

Text #17

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Data Index: 690758 (C4 (Web Text))

Max Activating Token Index: 482

Text #18

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Data Index: 1301961 (C4 (Web Text))

Max Activating Token Index: 92

Text #19

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Data Index: 1283360 (C4 (Web Text))

Max Activating Token Index: 392