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

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

Neuron 2773 in Layer 0

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



Text #0

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1612859 (Python Code)

Max Activating Token Index: 445

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Text #1

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 1553791 (Python Code)

Max Activating Token Index: 624

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Text #2

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 1407114 (Python Code)

Max Activating Token Index: 961

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Text #3

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Max Act: 0.0197. Min Act: -0.0001

Data Index: 1632902 (Python Code)

Max Activating Token Index: 253

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Text #4

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Max Act: 0.0196. Min Act: -0.0001

Data Index: 346327 (C4 (Web Text))

Max Activating Token Index: 377

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Text #5

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Data Index: 1552891 (Python Code)

Max Activating Token Index: 891

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Text #6

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Data Index: 581232 (C4 (Web Text))

Max Activating Token Index: 204

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Text #7

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Data Index: 1594607 (Python Code)

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Text #8

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Data Index: 1540132 (Python Code)

Max Activating Token Index: 497

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Text #9

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Data Index: 1555385 (Python Code)

Max Activating Token Index: 1004

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Text #10

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Data Index: 1479242 (Python Code)

Max Activating Token Index: 500

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Text #11

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Data Index: 1477036 (Python Code)

Max Activating Token Index: 558

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Text #12

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Data Index: 837239 (C4 (Web Text))

Max Activating Token Index: 788

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Text #13

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Data Index: 1582996 (Python Code)

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Text #14

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Data Index: 1583700 (Python Code)

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Text #15

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Data Index: 1393728 (Python Code)

Max Activating Token Index: 440

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Text #16

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Data Index: 472305 (C4 (Web Text))

Max Activating Token Index: 188

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Text #17

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Data Index: 1391997 (Python Code)

Max Activating Token Index: 328

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Text #18

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Data Index: 1507919 (Python Code)

Max Activating Token Index: 99

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Text #19

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Max Act: 0.0183. Min Act: -0.0002

Data Index: 67300 (C4 (Web Text))

Max Activating Token Index: 158

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