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

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

Neuron 1680 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.7927. Min Act: -0.0001

Data Index: 169927 (C4 (Web Text))

Max Activating Token Index: 542

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Text #1

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Max Act: 0.7290. Min Act: -0.0001

Data Index: 5149 (C4 (Web Text))

Max Activating Token Index: 717

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Text #2

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Max Act: 0.6951. Min Act: -0.0001

Data Index: 751330 (C4 (Web Text))

Max Activating Token Index: 780

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Text #3

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Max Act: 0.6667. Min Act: -0.0001

Data Index: 1308524 (C4 (Web Text))

Max Activating Token Index: 942

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Text #4

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Data Index: 18546 (C4 (Web Text))

Max Activating Token Index: 107

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Text #5

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Data Index: 1304178 (C4 (Web Text))

Max Activating Token Index: 573

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Text #6

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Data Index: 1577602 (Python Code)

Max Activating Token Index: 92

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Text #7

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Data Index: 374153 (C4 (Web Text))

Max Activating Token Index: 824

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Text #8

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Data Index: 1248178 (C4 (Web Text))

Max Activating Token Index: 711

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Text #9

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Data Index: 1161844 (C4 (Web Text))

Max Activating Token Index: 910

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Text #10

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Data Index: 1160388 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 811287 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 1405502 (Python Code)

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Text #16

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Text #17

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Data Index: 433764 (C4 (Web Text))

Max Activating Token Index: 266

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Text #18

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Data Index: 522069 (C4 (Web Text))

Max Activating Token Index: 880

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Text #19

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Data Index: 1609913 (Python Code)

Max Activating Token Index: 821

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