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

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

Neuron 1985 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: 0.0454. Min Act: -0.0002

Data Index: 659055 (C4 (Web Text))

Max Activating Token Index: 223

Text #1

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Max Activating Token Index: 962

Text #2

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 1297303 (C4 (Web Text))

Max Activating Token Index: 167

Text #3

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Max Act: 0.0450. Min Act: -0.0002

Data Index: 35675 (C4 (Web Text))

Max Activating Token Index: 794

Text #4

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Data Index: 742512 (C4 (Web Text))

Max Activating Token Index: 781

Text #5

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Max Activating Token Index: 624

Text #6

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Max Activating Token Index: 474

Text #7

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Max Activating Token Index: 301

Text #8

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Max Activating Token Index: 129

Text #9

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Max Activating Token Index: 197

Text #10

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Max Activating Token Index: 315

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Max Activating Token Index: 728

Text #12

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Max Activating Token Index: 758

Text #13

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Max Activating Token Index: 438

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: 274

Text #18

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Max Activating Token Index: 942

Text #19

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Data Index: 414958 (C4 (Web Text))

Max Activating Token Index: 79