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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 525 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



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Max Act: 0.0801. Min Act: -0.0003

Data Index: 1362251 (Python Code)

Max Activating Token Index: 254

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Text #1

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Max Act: 0.0723. Min Act: -0.0003

Data Index: 1465746 (Python Code)

Max Activating Token Index: 221

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Text #2

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Max Act: 0.0723. Min Act: -0.0004

Data Index: 1411393 (Python Code)

Max Activating Token Index: 600

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Text #3

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Max Act: 0.0709. Min Act: -0.0003

Data Index: 1621395 (Python Code)

Max Activating Token Index: 312

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Text #4

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Max Act: 0.0698. Min Act: -0.0004

Data Index: 89567 (C4 (Web Text))

Max Activating Token Index: 465

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Text #5

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Data Index: 1412755 (Python Code)

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Text #6

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Data Index: 1370424 (Python Code)

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Text #7

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Data Index: 1419944 (Python Code)

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Text #8

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Data Index: 1551391 (Python Code)

Max Activating Token Index: 86

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Text #9

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Data Index: 1561277 (Python Code)

Max Activating Token Index: 435

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Text #10

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Data Index: 1656393 (Python Code)

Max Activating Token Index: 893

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Text #11

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Max Activating Token Index: 843

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 809653 (C4 (Web Text))

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Text #16

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Data Index: 1541738 (Python Code)

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Text #17

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Data Index: 1609250 (Python Code)

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Text #18

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Data Index: 1584160 (Python Code)

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Text #19

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Data Index: 1528655 (Python Code)

Max Activating Token Index: 313

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