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

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

Neuron 860 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0213. Min Act: -0.0002

Data Index: 238104 (C4 (Web Text))

Max Activating Token Index: 474

Text #1

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Data Index: 1129099 (C4 (Web Text))

Max Activating Token Index: 762

Text #2

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 970127 (C4 (Web Text))

Max Activating Token Index: 670

Text #3

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Max Act: 0.0196. Min Act: -0.0003

Data Index: 337223 (C4 (Web Text))

Max Activating Token Index: 543

Text #4

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Data Index: 988978 (C4 (Web Text))

Max Activating Token Index: 90

Text #5

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Max Act: 0.0177. Min Act: -0.0003

Data Index: 246690 (C4 (Web Text))

Max Activating Token Index: 223

Text #6

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Max Activating Token Index: 679

Text #7

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Text #8

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Max Activating Token Index: 150

Text #9

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Max Activating Token Index: 264

Text #10

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Max Activating Token Index: 114

Text #11

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Max Activating Token Index: 752

Text #12

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Data Index: 259722 (C4 (Web Text))

Max Activating Token Index: 472

Text #13

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Max Activating Token Index: 19

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 111

Text #18

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Max Activating Token Index: 265

Text #19

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Data Index: 948691 (C4 (Web Text))

Max Activating Token Index: 246