Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1030 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 575726 (C4 (Web Text))

Max Activating Token Index: 663

Text #1

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Max Act: 0.0361. Min Act: -0.0003

Data Index: 863028 (C4 (Web Text))

Max Activating Token Index: 758

Text #2

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Max Act: 0.0352. Min Act: -0.0003

Data Index: 702665 (C4 (Web Text))

Max Activating Token Index: 574

Text #3

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Max Act: 0.0344. Min Act: -0.0003

Data Index: 844338 (C4 (Web Text))

Max Activating Token Index: 648

Text #4

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 89255 (C4 (Web Text))

Max Activating Token Index: 469

Text #5

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1316846 (C4 (Web Text))

Max Activating Token Index: 334

Text #6

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Data Index: 383598 (C4 (Web Text))

Max Activating Token Index: 689

Text #7

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Max Activating Token Index: 216

Text #8

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Data Index: 971430 (C4 (Web Text))

Max Activating Token Index: 696

Text #9

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Data Index: 747084 (C4 (Web Text))

Max Activating Token Index: 89

Text #10

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Data Index: 353928 (C4 (Web Text))

Max Activating Token Index: 754

Text #11

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Data Index: 709356 (C4 (Web Text))

Max Activating Token Index: 102

Text #12

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Data Index: 525688 (C4 (Web Text))

Max Activating Token Index: 430

Text #13

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Data Index: 101652 (C4 (Web Text))

Max Activating Token Index: 967

Text #14

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Data Index: 652800 (C4 (Web Text))

Max Activating Token Index: 153

Text #15

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Max Activating Token Index: 757

Text #16

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Max Activating Token Index: 249

Text #17

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Data Index: 474005 (C4 (Web Text))

Max Activating Token Index: 292

Text #18

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Data Index: 989495 (C4 (Web Text))

Max Activating Token Index: 696

Text #19

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Max Act: 0.0294. Min Act: -0.0003

Data Index: 34413 (C4 (Web Text))

Max Activating Token Index: 544