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

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

Neuron 2048 in Layer 1

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: 0.0337. Min Act: -0.0003

Data Index: 886425 (C4 (Web Text))

Max Activating Token Index: 731

Text #1

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Max Activating Token Index: 795

Text #2

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Max Act: 0.0377. Min Act: -0.0003

Data Index: 701163 (C4 (Web Text))

Max Activating Token Index: 307

Text #3

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Data Index: 1017607 (C4 (Web Text))

Max Activating Token Index: 769

Text #4

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Data Index: 210720 (C4 (Web Text))

Max Activating Token Index: 533

Text #5

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Data Index: 616133 (C4 (Web Text))

Max Activating Token Index: 195

Text #6

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Max Activating Token Index: 761

Text #7

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Max Activating Token Index: 275

Text #8

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Text #9

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Max Activating Token Index: 833

Text #10

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Max Activating Token Index: 495

Text #11

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Max Activating Token Index: 370

Text #12

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Max Activating Token Index: 348

Text #13

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Max Activating Token Index: 186

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: 923830 (C4 (Web Text))

Max Activating Token Index: 482