Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 475 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 106757 (C4 (Web Text))

Max Activating Token Index: 244

Text #1

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Data Index: 174139 (C4 (Web Text))

Max Activating Token Index: 715

Text #2

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Data Index: 1165628 (C4 (Web Text))

Max Activating Token Index: 968

Text #3

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Data Index: 318532 (C4 (Web Text))

Max Activating Token Index: 621

Text #4

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Data Index: 719526 (C4 (Web Text))

Max Activating Token Index: 718

Text #5

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Max Activating Token Index: 963

Text #6

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Max Activating Token Index: 672

Text #7

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Max Activating Token Index: 527

Text #8

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Max Activating Token Index: 403

Text #9

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Max Activating Token Index: 932

Text #10

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Max Activating Token Index: 195

Text #11

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Max Activating Token Index: 376

Text #12

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Max Activating Token Index: 915

Text #13

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Data Index: 204082 (C4 (Web Text))

Max Activating Token Index: 601

Text #14

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Text #15

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Max Activating Token Index: 162

Text #16

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Max Activating Token Index: 1017

Text #17

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Max Activating Token Index: 853

Text #18

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Max Activating Token Index: 221

Text #19

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Data Index: 1083921 (C4 (Web Text))

Max Activating Token Index: 531