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

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

Neuron 11 in Layer 3

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: 0.0742. Min Act: -0.0001

Data Index: 454121 (C4 (Web Text))

Max Activating Token Index: 721

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Truncated

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Text #1

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Data Index: 620209 (C4 (Web Text))

Max Activating Token Index: 410

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Truncated

Full Text #1


Text #2

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Data Index: 1068730 (C4 (Web Text))

Max Activating Token Index: 18

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Text #3

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Data Index: 69152 (C4 (Web Text))

Max Activating Token Index: 95

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Truncated

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Text #4

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Data Index: 1194339 (C4 (Web Text))

Max Activating Token Index: 670

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Truncated

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Text #5

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Data Index: 779013 (C4 (Web Text))

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Text #6

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Data Index: 1185985 (C4 (Web Text))

Max Activating Token Index: 967

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 1106182 (C4 (Web Text))

Max Activating Token Index: 719

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Text #9

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Data Index: 441002 (C4 (Web Text))

Max Activating Token Index: 328

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Truncated

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Text #10

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Data Index: 317342 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Data Index: 243323 (C4 (Web Text))

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Text #13

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Data Index: 1083742 (C4 (Web Text))

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Truncated

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Text #14

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Text #15

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Data Index: 685206 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 878997 (C4 (Web Text))

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Text #18

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Max Act: 0.0546. Min Act: -0.0001

Data Index: 575325 (C4 (Web Text))

Max Activating Token Index: 667

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Truncated

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Text #19

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Data Index: 263101 (C4 (Web Text))

Max Activating Token Index: 721

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