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

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

Neuron 4005 in Layer 8

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

Text #0

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Max Act: 0.5778. Min Act: -0.0000

Data Index: 1125878 (C4 (Web Text))

Max Activating Token Index: 27

Text #1

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Max Act: 0.5827. Min Act: -0.0000

Data Index: 750824 (C4 (Web Text))

Max Activating Token Index: 525

Text #2

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Max Act: 0.0054. Min Act: -0.0000

Data Index: 196353 (C4 (Web Text))

Max Activating Token Index: 121

Text #3

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Max Act: 0.4392. Min Act: -0.0000

Data Index: 1087752 (C4 (Web Text))

Max Activating Token Index: 709

Text #4

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Max Act: 0.5501. Min Act: -0.0000

Data Index: 502247 (C4 (Web Text))

Max Activating Token Index: 139

Text #5

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Data Index: 996652 (C4 (Web Text))

Max Activating Token Index: 17

Text #6

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Data Index: 368617 (C4 (Web Text))

Max Activating Token Index: 744

Text #7

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Data Index: 1589512 (Python Code)

Max Activating Token Index: 517

Text #8

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Data Index: 747298 (C4 (Web Text))

Max Activating Token Index: 240

Text #9

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Data Index: 297834 (C4 (Web Text))

Max Activating Token Index: 468

Text #10

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Max Activating Token Index: 871

Text #11

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Data Index: 1502942 (Python Code)

Max Activating Token Index: 580

Text #12

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Data Index: 1553966 (Python Code)

Max Activating Token Index: 411

Text #13

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Data Index: 1582261 (Python Code)

Max Activating Token Index: 579

Text #14

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Data Index: 678927 (C4 (Web Text))

Max Activating Token Index: 460

Text #15

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Max Activating Token Index: 1002

Text #16

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Max Activating Token Index: 797

Text #17

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Data Index: 1407344 (Python Code)

Max Activating Token Index: 263

Text #18

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Data Index: 1410342 (Python Code)

Max Activating Token Index: 303

Text #19

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Max Act: 0.1668. Min Act: -0.0000

Data Index: 1514383 (Python Code)

Max Activating Token Index: 83