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

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

Neuron 1953 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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Data Index: 774621 (C4 (Web Text))

Max Activating Token Index: 118

Text #1

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Max Activating Token Index: 217

Text #2

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Max Act: 0.0205. Min Act: -0.0002

Data Index: 192529 (C4 (Web Text))

Max Activating Token Index: 723

Text #3

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Max Act: 0.0193. Min Act: -0.0003

Data Index: 213856 (C4 (Web Text))

Max Activating Token Index: 495

Text #4

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Data Index: 1143843 (C4 (Web Text))

Max Activating Token Index: 973

Text #5

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Max Activating Token Index: 963

Text #6

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Max Activating Token Index: 603

Text #7

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Max Activating Token Index: 238

Text #8

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Max Activating Token Index: 559

Text #9

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Max Activating Token Index: 135

Text #10

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Max Activating Token Index: 397

Text #11

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Data Index: 284401 (C4 (Web Text))

Max Activating Token Index: 467

Text #12

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Max Activating Token Index: 601

Text #13

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Max Activating Token Index: 723

Text #14

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Max Activating Token Index: 122

Text #15

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Text #16

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Max Activating Token Index: 251

Text #17

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Max Activating Token Index: 508

Text #18

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Max Activating Token Index: 894

Text #19

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Data Index: 733949 (C4 (Web Text))

Max Activating Token Index: 473