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

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

Neuron 2083 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: 0.0570. Min Act: -0.0003

Data Index: 490078 (C4 (Web Text))

Max Activating Token Index: 793

Text #1

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Data Index: 565382 (C4 (Web Text))

Max Activating Token Index: 337

Text #2

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Max Act: 0.0459. Min Act: -0.0003

Data Index: 592975 (C4 (Web Text))

Max Activating Token Index: 702

Text #3

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Max Act: 0.0383. Min Act: -0.0003

Data Index: 387066 (C4 (Web Text))

Max Activating Token Index: 978

Text #4

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Data Index: 1313942 (C4 (Web Text))

Max Activating Token Index: 725

Text #5

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Max Activating Token Index: 338

Text #6

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Max Activating Token Index: 833

Text #7

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Max Activating Token Index: 885

Text #8

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Max Activating Token Index: 767

Text #9

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Max Activating Token Index: 121

Text #10

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Max Activating Token Index: 417

Text #11

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Max Activating Token Index: 613

Text #12

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Max Activating Token Index: 777

Text #13

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Max Activating Token Index: 358

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: 126052 (C4 (Web Text))

Max Activating Token Index: 836