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

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

Neuron 2068 in Layer 2

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: 0.0225. Min Act: -0.0002

Data Index: 823917 (C4 (Web Text))

Max Activating Token Index: 318

Text #1

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 1016297 (C4 (Web Text))

Max Activating Token Index: 414

Text #2

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 279786 (C4 (Web Text))

Max Activating Token Index: 327

Text #3

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 156846 (C4 (Web Text))

Max Activating Token Index: 787

Text #4

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Data Index: 938708 (C4 (Web Text))

Max Activating Token Index: 571

Text #5

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Data Index: 400513 (C4 (Web Text))

Max Activating Token Index: 283

Text #6

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Data Index: 1083225 (C4 (Web Text))

Max Activating Token Index: 339

Text #7

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Max Activating Token Index: 15

Text #8

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Max Activating Token Index: 350

Text #9

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Data Index: 1242201 (C4 (Web Text))

Max Activating Token Index: 264

Text #10

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Data Index: 167241 (C4 (Web Text))

Max Activating Token Index: 410

Text #11

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Data Index: 611904 (C4 (Web Text))

Max Activating Token Index: 621

Text #12

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Data Index: 260627 (C4 (Web Text))

Max Activating Token Index: 648

Text #13

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Data Index: 15294 (C4 (Web Text))

Max Activating Token Index: 311

Text #14

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Data Index: 49334 (C4 (Web Text))

Max Activating Token Index: 217

Text #15

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Text #16

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Max Activating Token Index: 124

Text #17

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Max Activating Token Index: 170

Text #18

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Data Index: 990528 (C4 (Web Text))

Max Activating Token Index: 549

Text #19

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Data Index: 344200 (C4 (Web Text))

Max Activating Token Index: 671