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

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

Neuron 3275 in Layer 6

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: 0.9581. Min Act: -0.0000

Data Index: 78961 (C4 (Web Text))

Max Activating Token Index: 224

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Text #1

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Max Act: 0.7914. Min Act: -0.0000

Data Index: 1286601 (C4 (Web Text))

Max Activating Token Index: 716

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Truncated

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Text #2

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Max Act: 0.7752. Min Act: -0.0000

Data Index: 798167 (C4 (Web Text))

Max Activating Token Index: 914

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Text #3

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Max Act: 0.7639. Min Act: -0.0000

Data Index: 1045219 (C4 (Web Text))

Max Activating Token Index: 428

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Truncated

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Text #4

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Max Act: 0.8146. Min Act: -0.0000

Data Index: 1634869 (Python Code)

Max Activating Token Index: 900

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Truncated

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Text #5

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Data Index: 379375 (C4 (Web Text))

Max Activating Token Index: 608

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Text #6

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Data Index: 1498347 (Python Code)

Max Activating Token Index: 991

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Text #7

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Data Index: 701663 (C4 (Web Text))

Max Activating Token Index: 41

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Text #8

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Data Index: 871855 (C4 (Web Text))

Max Activating Token Index: 494

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Text #9

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Data Index: 1194660 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #10

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Data Index: 567737 (C4 (Web Text))

Max Activating Token Index: 279

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Text #11

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Data Index: 433727 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 275987 (C4 (Web Text))

Max Activating Token Index: 375

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Text #13

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Data Index: 1236115 (C4 (Web Text))

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Text #14

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Data Index: 408421 (C4 (Web Text))

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Text #15

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Data Index: 1470198 (Python Code)

Max Activating Token Index: 821

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Text #16

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Data Index: 327921 (C4 (Web Text))

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Text #17

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Data Index: 139552 (C4 (Web Text))

Max Activating Token Index: 752

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Text #18

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Data Index: 261229 (C4 (Web Text))

Max Activating Token Index: 115

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Text #19

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Data Index: 249335 (C4 (Web Text))

Max Activating Token Index: 896

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