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

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

Neuron 1756 in Layer 0

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



Text #0

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Max Act: 0.0113. Min Act: -0.0005

Data Index: 1445883 (Python Code)

Max Activating Token Index: 666

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Text #1

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 1449035 (Python Code)

Max Activating Token Index: 637

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Text #2

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Max Act: 0.0110. Min Act: -0.0005

Data Index: 1620638 (Python Code)

Max Activating Token Index: 612

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Text #3

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 1467774 (Python Code)

Max Activating Token Index: 608

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Text #4

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 1499589 (Python Code)

Max Activating Token Index: 611

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Text #5

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 987027 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #6

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Data Index: 1486045 (Python Code)

Max Activating Token Index: 73

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Text #7

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Data Index: 1369985 (Python Code)

Max Activating Token Index: 579

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Text #8

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Data Index: 1648553 (Python Code)

Max Activating Token Index: 540

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Text #9

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Data Index: 1531224 (Python Code)

Max Activating Token Index: 99

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Text #10

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Data Index: 1498447 (Python Code)

Max Activating Token Index: 816

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Text #11

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Data Index: 1423836 (Python Code)

Max Activating Token Index: 871

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Text #12

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Data Index: 293533 (C4 (Web Text))

Max Activating Token Index: 418

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Text #13

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Data Index: 23358 (C4 (Web Text))

Max Activating Token Index: 859

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Text #14

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Data Index: 1515560 (Python Code)

Max Activating Token Index: 116

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Text #15

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Data Index: 1435254 (Python Code)

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Text #16

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Data Index: 1447071 (Python Code)

Max Activating Token Index: 644

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Text #17

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Data Index: 1440629 (Python Code)

Max Activating Token Index: 517

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Text #18

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Max Act: 0.0094. Min Act: -0.0005

Data Index: 297054 (C4 (Web Text))

Max Activating Token Index: 591

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Text #19

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Max Act: 0.0096. Min Act: -0.0005

Data Index: 1038179 (C4 (Web Text))

Max Activating Token Index: 14

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