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

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

Neuron 1955 in Layer 7

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: 3.7794. Min Act: -0.0000

Data Index: 1635170 (Python Code)

Max Activating Token Index: 147

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Text #1

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Max Act: 3.4508. Min Act: -0.0000

Data Index: 8052 (C4 (Web Text))

Max Activating Token Index: 297

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Text #2

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Max Act: 3.5190. Min Act: -0.0000

Data Index: 60456 (C4 (Web Text))

Max Activating Token Index: 26

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Text #3

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Data Index: 1581106 (Python Code)

Max Activating Token Index: 711

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Text #4

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Max Act: 2.9850. Min Act: -0.0000

Data Index: 1088697 (C4 (Web Text))

Max Activating Token Index: 821

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Text #5

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Data Index: 1588075 (Python Code)

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Text #6

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Data Index: 444065 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 369375 (C4 (Web Text))

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Text #9

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Data Index: 586488 (C4 (Web Text))

Max Activating Token Index: 843

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Text #10

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Data Index: 61194 (C4 (Web Text))

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Text #11

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Data Index: 1279970 (C4 (Web Text))

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Text #12

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Data Index: 618828 (C4 (Web Text))

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Text #13

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Data Index: 415779 (C4 (Web Text))

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Text #14

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Data Index: 10775 (C4 (Web Text))

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Text #15

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Data Index: 728510 (C4 (Web Text))

Max Activating Token Index: 655

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Text #16

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Text #17

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Data Index: 163599 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #18

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Data Index: 1317257 (C4 (Web Text))

Max Activating Token Index: 340

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Text #19

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Data Index: 189314 (C4 (Web Text))

Max Activating Token Index: 401

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