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

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

Neuron 2066 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: 0.0244. Min Act: -0.0003

Data Index: 19235 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0207. Min Act: -0.0003

Data Index: 496441 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0219. Min Act: -0.0003

Data Index: 161409 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0217. Min Act: -0.0002

Data Index: 313467 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Data Index: 627280 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0168. Min Act: -0.0003

Data Index: 885815 (C4 (Web Text))

Max Activating Token Index: 641

Text #6

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Data Index: 382963 (C4 (Web Text))

Max Activating Token Index: 1023

Text #7

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Data Index: 1134269 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 585

Text #9

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Max Activating Token Index: 1023

Text #10

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Max Activating Token Index: 499

Text #11

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Data Index: 1167747 (C4 (Web Text))

Max Activating Token Index: 787

Text #12

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Data Index: 990279 (C4 (Web Text))

Max Activating Token Index: 1023

Text #13

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Data Index: 25612 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Data Index: 1396416 (Python Code)

Max Activating Token Index: 300

Text #15

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Max Activating Token Index: 109

Text #16

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Max Activating Token Index: 744

Text #17

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Data Index: 215308 (C4 (Web Text))

Max Activating Token Index: 415

Text #18

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Max Activating Token Index: 593

Text #19

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Max Act: 0.0161. Min Act: -0.0003

Data Index: 603246 (C4 (Web Text))

Max Activating Token Index: 518