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

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

Neuron 643 in Layer 1

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: 0.0382. Min Act: -0.0006

Data Index: 1631345 (Python Code)

Max Activating Token Index: 593

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Text #1

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Max Act: 0.0363. Min Act: -0.0006

Data Index: 1412453 (Python Code)

Max Activating Token Index: 359

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Text #2

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Max Act: 0.0368. Min Act: -0.0006

Data Index: 1642434 (Python Code)

Max Activating Token Index: 86

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Text #3

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Max Act: 0.0352. Min Act: -0.0006

Data Index: 1438824 (Python Code)

Max Activating Token Index: 254

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Text #4

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Max Act: 0.0340. Min Act: -0.0006

Data Index: 2039 (C4 (Web Text))

Max Activating Token Index: 895

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Text #5

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Data Index: 1454122 (Python Code)

Max Activating Token Index: 653

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Text #6

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Data Index: 1403670 (Python Code)

Max Activating Token Index: 171

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Text #7

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Data Index: 1643709 (Python Code)

Max Activating Token Index: 665

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Text #8

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Data Index: 1619085 (Python Code)

Max Activating Token Index: 474

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Text #9

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Data Index: 1429764 (Python Code)

Max Activating Token Index: 243

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Text #10

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Data Index: 248662 (C4 (Web Text))

Max Activating Token Index: 948

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Text #11

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Data Index: 1600500 (Python Code)

Max Activating Token Index: 613

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Text #12

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Data Index: 1565150 (Python Code)

Max Activating Token Index: 717

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Text #13

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Data Index: 1575492 (Python Code)

Max Activating Token Index: 769

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Text #14

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Data Index: 1623348 (Python Code)

Max Activating Token Index: 551

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Text #15

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Data Index: 1541915 (Python Code)

Max Activating Token Index: 73

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Text #16

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Data Index: 1547966 (Python Code)

Max Activating Token Index: 500

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Text #17

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Data Index: 1548049 (Python Code)

Max Activating Token Index: 352

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Text #18

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Data Index: 1415811 (Python Code)

Max Activating Token Index: 732

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Text #19

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Max Act: 0.0304. Min Act: -0.0006

Data Index: 1588393 (Python Code)

Max Activating Token Index: 317

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