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

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

Neuron 2038 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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Max Act: 0.1108. Min Act: -0.0002

Data Index: 440327 (C4 (Web Text))

Max Activating Token Index: 873

Text #1

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Max Activating Token Index: 88

Text #2

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Max Activating Token Index: 1004

Text #3

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Data Index: 372116 (C4 (Web Text))

Max Activating Token Index: 986

Text #4

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Max Activating Token Index: 633

Text #5

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Max Activating Token Index: 501

Text #6

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Max Activating Token Index: 778

Text #7

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Max Activating Token Index: 975

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Max Activating Token Index: 137

Text #9

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Max Activating Token Index: 434

Text #10

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Max Activating Token Index: 769

Text #11

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Max Activating Token Index: 35

Text #12

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Max Activating Token Index: 92

Text #13

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Max Activating Token Index: 983

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 609

Text #18

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Max Activating Token Index: 23

Text #19

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Data Index: 99285 (C4 (Web Text))

Max Activating Token Index: 144