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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3158 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0877. Min Act: -0.0002

Data Index: 360710 (C4 (Web Text))

Max Activating Token Index: 827

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Text #1

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Max Act: 0.0774. Min Act: -0.0002

Data Index: 334031 (C4 (Web Text))

Max Activating Token Index: 354

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Text #2

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Max Act: 0.0756. Min Act: -0.0002

Data Index: 1058060 (C4 (Web Text))

Max Activating Token Index: 685

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Text #3

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Max Act: 0.0747. Min Act: -0.0002

Data Index: 883717 (C4 (Web Text))

Max Activating Token Index: 418

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Text #4

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Max Act: 0.0755. Min Act: -0.0002

Data Index: 268817 (C4 (Web Text))

Max Activating Token Index: 822

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Text #5

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Max Act: 0.0739. Min Act: -0.0002

Data Index: 434319 (C4 (Web Text))

Max Activating Token Index: 810

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Text #6

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Data Index: 1235586 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 706

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Truncated

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Text #8

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Data Index: 1139343 (C4 (Web Text))

Max Activating Token Index: 327

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Text #9

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Data Index: 874171 (C4 (Web Text))

Max Activating Token Index: 388

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Text #10

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Data Index: 1279659 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 974046 (C4 (Web Text))

Max Activating Token Index: 698

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Text #13

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Data Index: 1142454 (C4 (Web Text))

Max Activating Token Index: 809

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Text #14

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Data Index: 624997 (C4 (Web Text))

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Text #15

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Data Index: 1125658 (C4 (Web Text))

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Text #16

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Data Index: 1589192 (Python Code)

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Text #17

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Data Index: 490823 (C4 (Web Text))

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Text #18

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Max Act: 0.0573. Min Act: -0.0002

Data Index: 1451908 (Python Code)

Max Activating Token Index: 701

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Text #19

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Data Index: 1228674 (C4 (Web Text))

Max Activating Token Index: 941

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