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

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

Neuron 5085 in Layer 9

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: 1.0300. Min Act: -0.0000

Data Index: 1392514 (Python Code)

Max Activating Token Index: 63

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Text #1

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Max Act: 1.1249. Min Act: -0.0000

Data Index: 141742 (C4 (Web Text))

Max Activating Token Index: 580

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Text #2

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Max Act: 0.9880. Min Act: -0.0000

Data Index: 855532 (C4 (Web Text))

Max Activating Token Index: 343

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Text #3

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Max Act: 1.2058. Min Act: -0.0000

Data Index: 1408878 (Python Code)

Max Activating Token Index: 501

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Text #4

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Max Act: 1.0727. Min Act: -0.0000

Data Index: 474006 (C4 (Web Text))

Max Activating Token Index: 854

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Text #5

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Max Act: 1.0217. Min Act: -0.0000

Data Index: 937087 (C4 (Web Text))

Max Activating Token Index: 432

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Text #6

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Data Index: 34264 (C4 (Web Text))

Max Activating Token Index: 89

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Text #7

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Data Index: 453861 (C4 (Web Text))

Max Activating Token Index: 20

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Text #8

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Data Index: 528072 (C4 (Web Text))

Max Activating Token Index: 566

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Text #9

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Data Index: 629467 (C4 (Web Text))

Max Activating Token Index: 931

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Text #10

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Data Index: 734269 (C4 (Web Text))

Max Activating Token Index: 47

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Text #11

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Data Index: 974987 (C4 (Web Text))

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Text #12

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Data Index: 567760 (C4 (Web Text))

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Text #13

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Data Index: 716128 (C4 (Web Text))

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Text #14

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Data Index: 1231301 (C4 (Web Text))

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Text #15

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Data Index: 705734 (C4 (Web Text))

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Text #16

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Data Index: 1564102 (Python Code)

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Text #17

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Max Act: 0.7595. Min Act: -0.0000

Data Index: 1424516 (Python Code)

Max Activating Token Index: 354

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Text #18

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Max Act: 0.8298. Min Act: -0.0000

Data Index: 17612 (C4 (Web Text))

Max Activating Token Index: 957

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Text #19

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Data Index: 1435263 (Python Code)

Max Activating Token Index: 302

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