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

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

Neuron 2092 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: 0.0793. Min Act: -0.0002

Data Index: 448377 (C4 (Web Text))

Max Activating Token Index: 176

Text #1

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Data Index: 1066815 (C4 (Web Text))

Max Activating Token Index: 33

Text #2

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Max Act: 0.0716. Min Act: -0.0002

Data Index: 367117 (C4 (Web Text))

Max Activating Token Index: 783

Text #3

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Max Act: 0.0712. Min Act: -0.0002

Data Index: 754956 (C4 (Web Text))

Max Activating Token Index: 829

Text #4

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Max Act: 0.0714. Min Act: -0.0002

Data Index: 543636 (C4 (Web Text))

Max Activating Token Index: 990

Text #5

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Max Act: 0.0682. Min Act: -0.0002

Data Index: 455286 (C4 (Web Text))

Max Activating Token Index: 1015

Text #6

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Data Index: 58608 (C4 (Web Text))

Max Activating Token Index: 662

Text #7

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Max Activating Token Index: 665

Text #8

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Max Activating Token Index: 184

Text #9

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Data Index: 996875 (C4 (Web Text))

Max Activating Token Index: 279

Text #10

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Data Index: 602873 (C4 (Web Text))

Max Activating Token Index: 351

Text #11

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Data Index: 677542 (C4 (Web Text))

Max Activating Token Index: 440

Text #12

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Max Activating Token Index: 276

Text #13

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Data Index: 1316338 (C4 (Web Text))

Max Activating Token Index: 358

Text #14

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Data Index: 430990 (C4 (Web Text))

Max Activating Token Index: 990

Text #15

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Max Activating Token Index: 1000

Text #16

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Max Activating Token Index: 1015

Text #17

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Max Activating Token Index: 969

Text #18

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Max Activating Token Index: 792

Text #19

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Data Index: 1244990 (C4 (Web Text))

Max Activating Token Index: 77