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

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

Neuron 2043 in Layer 2

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: 1660 (C4 (Web Text))

Max Activating Token Index: 845

Text #1

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Max Activating Token Index: 626

Text #2

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Max Activating Token Index: 900

Text #3

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Data Index: 836981 (C4 (Web Text))

Max Activating Token Index: 691

Text #4

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Max Activating Token Index: 984

Text #5

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Max Activating Token Index: 917

Text #6

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Max Activating Token Index: 895

Text #7

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Text #8

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Max Activating Token Index: 578

Text #9

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Max Activating Token Index: 72

Text #10

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Max Activating Token Index: 816

Text #11

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Max Activating Token Index: 641

Text #12

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Max Activating Token Index: 797

Text #13

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Max Activating Token Index: 965

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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Max Activating Token Index: 647

Text #19

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Data Index: 457276 (C4 (Web Text))

Max Activating Token Index: 298