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

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

Neuron 2010 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 1.1903. Min Range: -1.1903

Max Act: 1.1903. Min Act: -0.0001

Data Index: 1498286 (Python Code)

Max Activating Token Index: 904

Text #1

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Max Act: 1.1899. Min Act: -0.0001

Data Index: 1483239 (Python Code)

Max Activating Token Index: 262

Text #2

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Max Act: 1.0650. Min Act: -0.0001

Data Index: 1505094 (Python Code)

Max Activating Token Index: 329

Text #3

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Max Act: 1.0915. Min Act: -0.0001

Data Index: 1367757 (Python Code)

Max Activating Token Index: 252

Text #4

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Max Act: 1.0374. Min Act: -0.0001

Data Index: 1530793 (Python Code)

Max Activating Token Index: 474

Text #5

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Max Act: 1.0119. Min Act: -0.0001

Data Index: 1623526 (Python Code)

Max Activating Token Index: 561

Text #6

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Data Index: 1640205 (Python Code)

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Text #7

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Data Index: 1454296 (Python Code)

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Text #8

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Data Index: 1395327 (Python Code)

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Text #9

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Data Index: 1371115 (Python Code)

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Text #10

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Data Index: 1555999 (Python Code)

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Text #11

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Data Index: 1401990 (Python Code)

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Text #12

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Data Index: 1617783 (Python Code)

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Text #13

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Data Index: 1392006 (Python Code)

Max Activating Token Index: 636

Text #14

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Data Index: 1495325 (Python Code)

Max Activating Token Index: 740

Text #15

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Data Index: 1640815 (Python Code)

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Text #16

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Data Index: 1452262 (Python Code)

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Text #17

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Data Index: 1483316 (Python Code)

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Text #18

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Data Index: 1436378 (Python Code)

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Text #19

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Max Act: 0.8778. Min Act: -0.0001

Data Index: 1430988 (Python Code)

Max Activating Token Index: 321