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

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

Neuron 1945 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: 0.0303. Min Act: -0.0002

Data Index: 22489 (C4 (Web Text))

Max Activating Token Index: 567

Text #1

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Data Index: 375886 (C4 (Web Text))

Max Activating Token Index: 49

Text #2

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Data Index: 108400 (C4 (Web Text))

Max Activating Token Index: 732

Text #3

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 327579 (C4 (Web Text))

Max Activating Token Index: 154

Text #4

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Data Index: 278666 (C4 (Web Text))

Max Activating Token Index: 784

Text #5

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Max Act: 0.0256. Min Act: -0.0002

Data Index: 193992 (C4 (Web Text))

Max Activating Token Index: 192

Text #6

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Max Activating Token Index: 128

Text #7

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Max Activating Token Index: 172

Text #8

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Data Index: 252597 (C4 (Web Text))

Max Activating Token Index: 202

Text #9

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Max Activating Token Index: 432

Text #10

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Max Activating Token Index: 82

Text #11

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Data Index: 108371 (C4 (Web Text))

Max Activating Token Index: 211

Text #12

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Max Activating Token Index: 928

Text #13

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Data Index: 393174 (C4 (Web Text))

Max Activating Token Index: 384

Text #14

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Max Activating Token Index: 735

Text #15

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Max Activating Token Index: 203

Text #16

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Max Activating Token Index: 66

Text #17

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Max Activating Token Index: 15

Text #18

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Max Activating Token Index: 182

Text #19

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Data Index: 336268 (C4 (Web Text))

Max Activating Token Index: 296