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

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

Neuron 2081 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: 82900 (C4 (Web Text))

Max Activating Token Index: 64

Text #1

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Max Act: 0.8590. Min Act: -0.0002

Data Index: 613009 (C4 (Web Text))

Max Activating Token Index: 210

Text #2

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Max Act: 0.8501. Min Act: -0.0002

Data Index: 501371 (C4 (Web Text))

Max Activating Token Index: 248

Text #3

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Max Act: 0.6766. Min Act: -0.0002

Data Index: 305651 (C4 (Web Text))

Max Activating Token Index: 756

Text #4

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Data Index: 648185 (C4 (Web Text))

Max Activating Token Index: 738

Text #5

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Max Act: 0.6719. Min Act: -0.0002

Data Index: 140962 (C4 (Web Text))

Max Activating Token Index: 278

Text #6

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Max Activating Token Index: 623

Text #7

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Max Activating Token Index: 252

Text #8

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Data Index: 330666 (C4 (Web Text))

Max Activating Token Index: 530

Text #9

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Data Index: 208271 (C4 (Web Text))

Max Activating Token Index: 196

Text #10

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Max Activating Token Index: 767

Text #11

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Max Activating Token Index: 550

Text #12

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Data Index: 348557 (C4 (Web Text))

Max Activating Token Index: 560

Text #13

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Max Activating Token Index: 125

Text #14

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Data Index: 390285 (C4 (Web Text))

Max Activating Token Index: 40

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 124

Text #18

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Data Index: 400492 (C4 (Web Text))

Max Activating Token Index: 644

Text #19

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Data Index: 134509 (C4 (Web Text))

Max Activating Token Index: 458