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

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

Neuron 3142 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: 0.0468. Min Act: -0.0002

Data Index: 310234 (C4 (Web Text))

Max Activating Token Index: 355

Text #1

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Max Act: 0.0460. Min Act: -0.0002

Data Index: 651726 (C4 (Web Text))

Max Activating Token Index: 654

Text #2

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Max Act: 0.0456. Min Act: -0.0002

Data Index: 1269513 (C4 (Web Text))

Max Activating Token Index: 349

Text #3

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 58086 (C4 (Web Text))

Max Activating Token Index: 216

Text #4

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Max Act: 0.0455. Min Act: -0.0002

Data Index: 596025 (C4 (Web Text))

Max Activating Token Index: 197

Text #5

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Max Act: 0.0436. Min Act: -0.0002

Data Index: 372255 (C4 (Web Text))

Max Activating Token Index: 327

Text #6

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Max Activating Token Index: 149

Text #7

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Max Activating Token Index: 318

Text #8

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Data Index: 550542 (C4 (Web Text))

Max Activating Token Index: 266

Text #9

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Data Index: 445006 (C4 (Web Text))

Max Activating Token Index: 282

Text #10

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Max Activating Token Index: 694

Text #11

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Data Index: 1118210 (C4 (Web Text))

Max Activating Token Index: 139

Text #12

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Max Activating Token Index: 685

Text #13

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Data Index: 74958 (C4 (Web Text))

Max Activating Token Index: 458

Text #14

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Data Index: 67350 (C4 (Web Text))

Max Activating Token Index: 976

Text #15

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Text #16

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Max Activating Token Index: 260

Text #17

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Data Index: 545196 (C4 (Web Text))

Max Activating Token Index: 198

Text #18

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Data Index: 1240877 (C4 (Web Text))

Max Activating Token Index: 14

Text #19

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Max Act: 0.0404. Min Act: -0.0002

Data Index: 586314 (C4 (Web Text))

Max Activating Token Index: 770