Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1781 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 1134446 (C4 (Web Text))

Max Activating Token Index: 141

Text #1

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Max Act: 0.0351. Min Act: -0.0002

Data Index: 616414 (C4 (Web Text))

Max Activating Token Index: 785

Text #2

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Max Act: 0.0342. Min Act: -0.0002

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Max Activating Token Index: 685

Text #3

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Max Act: 0.0355. Min Act: -0.0002

Data Index: 607759 (C4 (Web Text))

Max Activating Token Index: 718

Text #4

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Max Act: 0.0336. Min Act: -0.0002

Data Index: 365340 (C4 (Web Text))

Max Activating Token Index: 345

Text #5

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Max Act: 0.0347. Min Act: -0.0002

Data Index: 1054990 (C4 (Web Text))

Max Activating Token Index: 294

Text #6

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Data Index: 32132 (C4 (Web Text))

Max Activating Token Index: 370

Text #7

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Max Activating Token Index: 717

Text #8

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Max Activating Token Index: 917

Text #9

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Max Activating Token Index: 235

Text #10

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Data Index: 840991 (C4 (Web Text))

Max Activating Token Index: 265

Text #11

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Data Index: 335904 (C4 (Web Text))

Max Activating Token Index: 262

Text #12

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Max Activating Token Index: 936

Text #13

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Max Activating Token Index: 337

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 1010

Text #17

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Max Activating Token Index: 214

Text #18

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Max Activating Token Index: 461

Text #19

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Data Index: 757738 (C4 (Web Text))

Max Activating Token Index: 1022