Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2019 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 370109 (C4 (Web Text))

Max Activating Token Index: 85

Text #1

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Max Activating Token Index: 866

Text #2

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Max Activating Token Index: 762

Text #3

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Max Act: 0.0142. Min Act: -0.0003

Data Index: 918902 (C4 (Web Text))

Max Activating Token Index: 145

Text #4

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Data Index: 210640 (C4 (Web Text))

Max Activating Token Index: 955

Text #5

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Max Activating Token Index: 406

Text #6

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Max Activating Token Index: 381

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Max Activating Token Index: 613

Text #9

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Text #10

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Max Activating Token Index: 846

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Max Activating Token Index: 184

Text #12

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Text #13

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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: 345616 (C4 (Web Text))

Max Activating Token Index: 613