Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2018 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0216. Min Act: -0.0004

Data Index: 240554 (C4 (Web Text))

Max Activating Token Index: 897

Text #1

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Max Activating Token Index: 988

Text #2

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Data Index: 869239 (C4 (Web Text))

Max Activating Token Index: 923

Text #3

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Max Act: 0.0202. Min Act: -0.0004

Data Index: 237237 (C4 (Web Text))

Max Activating Token Index: 285

Text #4

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Data Index: 790823 (C4 (Web Text))

Max Activating Token Index: 835

Text #5

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Data Index: 88334 (C4 (Web Text))

Max Activating Token Index: 642

Text #6

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Data Index: 413331 (C4 (Web Text))

Max Activating Token Index: 840

Text #7

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Max Activating Token Index: 968

Text #8

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Max Activating Token Index: 981

Text #9

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Max Activating Token Index: 697

Text #10

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Max Activating Token Index: 713

Text #11

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Max Activating Token Index: 396

Text #12

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Max Activating Token Index: 757

Text #13

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Max Activating Token Index: 32

Text #14

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Max Activating Token Index: 628

Text #15

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Max Activating Token Index: 284

Text #16

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Max Activating Token Index: 625

Text #17

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Max Activating Token Index: 838

Text #18

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Max Activating Token Index: 37

Text #19

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Data Index: 687083 (C4 (Web Text))

Max Activating Token Index: 392