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

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

Neuron 2031 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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Max Act: 0.0470. Min Act: -0.0005

Data Index: 287280 (C4 (Web Text))

Max Activating Token Index: 1019

Text #1

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Max Activating Token Index: 746

Text #2

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Max Act: 0.0447. Min Act: -0.0005

Data Index: 194616 (C4 (Web Text))

Max Activating Token Index: 920

Text #3

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Max Act: 0.0442. Min Act: -0.0004

Data Index: 916227 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Data Index: 407765 (C4 (Web Text))

Max Activating Token Index: 430

Text #5

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Max Activating Token Index: 326

Text #6

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Text #7

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Max Activating Token Index: 874

Text #8

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Max Activating Token Index: 297

Text #9

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Text #10

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Max Activating Token Index: 545

Text #11

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Max Activating Token Index: 461

Text #12

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Text #13

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Max Activating Token Index: 583

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1343750 (C4 (Web Text))

Max Activating Token Index: 869