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

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

Neuron 1997 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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Data Index: 342168 (C4 (Web Text))

Max Activating Token Index: 914

Text #1

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Max Activating Token Index: 640

Text #2

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Data Index: 186949 (C4 (Web Text))

Max Activating Token Index: 476

Text #3

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Data Index: 442400 (C4 (Web Text))

Max Activating Token Index: 754

Text #4

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Max Activating Token Index: 1019

Text #5

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Max Activating Token Index: 826

Text #6

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Max Activating Token Index: 686

Text #7

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Max Activating Token Index: 563

Text #8

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Max Activating Token Index: 834

Text #9

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Max Activating Token Index: 967

Text #10

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Max Activating Token Index: 607

Text #11

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Max Activating Token Index: 545

Text #12

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Max Activating Token Index: 495

Text #13

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Max Activating Token Index: 838

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 484

Text #17

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Text #18

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Text #19

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Data Index: 160991 (C4 (Web Text))

Max Activating Token Index: 490