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

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

Neuron 1089 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: 0.0309. Min Act: -0.0002

Data Index: 289997 (C4 (Web Text))

Max Activating Token Index: 941

Text #1

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 1266341 (C4 (Web Text))

Max Activating Token Index: 795

Text #2

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 1045960 (C4 (Web Text))

Max Activating Token Index: 182

Text #3

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 615163 (C4 (Web Text))

Max Activating Token Index: 960

Text #4

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 1177901 (C4 (Web Text))

Max Activating Token Index: 193

Text #5

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 1517261 (Python Code)

Max Activating Token Index: 848

Text #6

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Max Activating Token Index: 1019

Text #7

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Data Index: 846327 (C4 (Web Text))

Max Activating Token Index: 147

Text #8

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Max Activating Token Index: 113

Text #9

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Data Index: 1003321 (C4 (Web Text))

Max Activating Token Index: 560

Text #10

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Data Index: 1497542 (Python Code)

Max Activating Token Index: 896

Text #11

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Data Index: 737069 (C4 (Web Text))

Max Activating Token Index: 650

Text #12

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Data Index: 162240 (C4 (Web Text))

Max Activating Token Index: 161

Text #13

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Data Index: 760378 (C4 (Web Text))

Max Activating Token Index: 135

Text #14

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Data Index: 911744 (C4 (Web Text))

Max Activating Token Index: 741

Text #15

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Max Activating Token Index: 582

Text #16

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Max Activating Token Index: 162

Text #17

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Max Activating Token Index: 921

Text #18

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Data Index: 1313042 (C4 (Web Text))

Max Activating Token Index: 179

Text #19

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Data Index: 952549 (C4 (Web Text))

Max Activating Token Index: 199