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

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

Neuron 1037 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: 0.0760. Min Act: -0.0002

Data Index: 1236723 (C4 (Web Text))

Max Activating Token Index: 910

Text #1

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Max Activating Token Index: 384

Text #2

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Data Index: 84831 (C4 (Web Text))

Max Activating Token Index: 268

Text #3

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Max Act: 0.0726. Min Act: -0.0001

Data Index: 186974 (C4 (Web Text))

Max Activating Token Index: 490

Text #4

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Data Index: 1304557 (C4 (Web Text))

Max Activating Token Index: 1020

Text #5

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Max Activating Token Index: 889

Text #6

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Data Index: 179267 (C4 (Web Text))

Max Activating Token Index: 575

Text #7

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Max Activating Token Index: 177

Text #8

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Max Activating Token Index: 424

Text #9

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Max Activating Token Index: 474

Text #10

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Data Index: 23859 (C4 (Web Text))

Max Activating Token Index: 476

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Max Activating Token Index: 256

Text #12

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Max Activating Token Index: 484

Text #13

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Max Activating Token Index: 56

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: 639

Text #18

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Max Activating Token Index: 968

Text #19

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Data Index: 100297 (C4 (Web Text))

Max Activating Token Index: 930