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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 674 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 299521 (C4 (Web Text))

Max Activating Token Index: 626

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Text #1

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Max Act: 0.0188. Min Act: -0.0005

Data Index: 1205528 (C4 (Web Text))

Max Activating Token Index: 922

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Text #2

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Max Act: 0.0185. Min Act: -0.0005

Data Index: 859004 (C4 (Web Text))

Max Activating Token Index: 23

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Text #3

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Max Act: 0.0177. Min Act: -0.0005

Data Index: 988668 (C4 (Web Text))

Max Activating Token Index: 816

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Text #4

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Max Act: 0.0179. Min Act: -0.0005

Data Index: 646530 (C4 (Web Text))

Max Activating Token Index: 233

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Text #5

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Max Act: 0.0176. Min Act: -0.0005

Data Index: 233860 (C4 (Web Text))

Max Activating Token Index: 46

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Text #6

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Data Index: 1029839 (C4 (Web Text))

Max Activating Token Index: 394

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Text #7

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Data Index: 1181966 (C4 (Web Text))

Max Activating Token Index: 639

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Text #8

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Data Index: 835985 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #9

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Data Index: 1327461 (C4 (Web Text))

Max Activating Token Index: 51

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Text #10

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Data Index: 1052280 (C4 (Web Text))

Max Activating Token Index: 710

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Text #11

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Data Index: 1096066 (C4 (Web Text))

Max Activating Token Index: 473

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Text #12

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Data Index: 1083223 (C4 (Web Text))

Max Activating Token Index: 583

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Text #13

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Data Index: 1186466 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #14

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Data Index: 1016306 (C4 (Web Text))

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Text #15

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Data Index: 33234 (C4 (Web Text))

Max Activating Token Index: 405

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Text #16

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Data Index: 506861 (C4 (Web Text))

Max Activating Token Index: 66

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Text #17

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Data Index: 1559730 (Python Code)

Max Activating Token Index: 812

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Text #18

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Max Act: 0.0155. Min Act: -0.0005

Data Index: 335155 (C4 (Web Text))

Max Activating Token Index: 285

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Text #19

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Data Index: 1649292 (Python Code)

Max Activating Token Index: 859

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