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

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

Neuron 1133 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: 250228 (C4 (Web Text))

Max Activating Token Index: 223

Text #1

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Max Activating Token Index: 998

Text #2

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Data Index: 671770 (C4 (Web Text))

Max Activating Token Index: 730

Text #3

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Max Act: 0.0633. Min Act: -0.0005

Data Index: 572858 (C4 (Web Text))

Max Activating Token Index: 850

Text #4

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Data Index: 17612 (C4 (Web Text))

Max Activating Token Index: 747

Text #5

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Max Activating Token Index: 360

Text #6

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Max Activating Token Index: 450

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Max Activating Token Index: 889

Text #8

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Max Activating Token Index: 199

Text #9

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Max Activating Token Index: 908

Text #10

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Max Activating Token Index: 319

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Max Activating Token Index: 420

Text #12

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Max Activating Token Index: 888

Text #13

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Data Index: 199809 (C4 (Web Text))

Max Activating Token Index: 978

Text #14

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Max Activating Token Index: 909

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 342

Text #18

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Data Index: 230959 (C4 (Web Text))

Max Activating Token Index: 806

Text #19

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Data Index: 85376 (C4 (Web Text))

Max Activating Token Index: 326