Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3012 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0329. Min Act: -0.0001

Data Index: 1646079 (Python Code)

Max Activating Token Index: 69

Text #1

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Max Act: 0.0279. Min Act: -0.0000

Data Index: 449801 (C4 (Web Text))

Max Activating Token Index: 779

Text #2

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Max Act: 0.0279. Min Act: 0.0002

Data Index: 1514429 (Python Code)

Max Activating Token Index: 343

Text #3

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Max Act: 0.0271. Min Act: -0.0000

Data Index: 1212756 (C4 (Web Text))

Max Activating Token Index: 965

Text #4

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Max Act: 0.0265. Min Act: 0.0001

Data Index: 1452548 (Python Code)

Max Activating Token Index: 662

Text #5

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Max Act: 0.0262. Min Act: -0.0000

Data Index: 1451145 (Python Code)

Max Activating Token Index: 420

Text #6

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Data Index: 1615009 (Python Code)

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Text #7

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Data Index: 731412 (C4 (Web Text))

Max Activating Token Index: 41

Text #8

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Data Index: 1512837 (Python Code)

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Text #9

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Data Index: 1427333 (Python Code)

Max Activating Token Index: 283

Text #10

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Data Index: 1416096 (Python Code)

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Text #11

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Data Index: 594453 (C4 (Web Text))

Max Activating Token Index: 9

Text #12

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Text #13

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Data Index: 991401 (C4 (Web Text))

Max Activating Token Index: 1012

Text #14

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Data Index: 1505417 (Python Code)

Max Activating Token Index: 162

Text #15

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Data Index: 37074 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 1268099 (C4 (Web Text))

Max Activating Token Index: 952

Text #19

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Data Index: 369234 (C4 (Web Text))

Max Activating Token Index: 785