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

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

Neuron 1030 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: 0.0556. Min Act: -0.0002

Data Index: 492164 (C4 (Web Text))

Max Activating Token Index: 290

Text #1

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Data Index: 400431 (C4 (Web Text))

Max Activating Token Index: 58

Text #2

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Data Index: 463646 (C4 (Web Text))

Max Activating Token Index: 235

Text #3

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Data Index: 215745 (C4 (Web Text))

Max Activating Token Index: 882

Text #4

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Max Activating Token Index: 339

Text #5

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Max Activating Token Index: 694

Text #6

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Max Activating Token Index: 474

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Text #10

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Max Activating Token Index: 940

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: 1142322 (C4 (Web Text))

Max Activating Token Index: 272