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

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

Neuron 1615 in Layer 5

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: 1.5388. Min Act: -0.0000

Data Index: 580218 (C4 (Web Text))

Max Activating Token Index: 22

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Text #1

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Data Index: 478424 (C4 (Web Text))

Max Activating Token Index: 40

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Text #2

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Max Act: 1.3887. Min Act: -0.0000

Data Index: 215403 (C4 (Web Text))

Max Activating Token Index: 96

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Text #3

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Max Act: 1.5287. Min Act: -0.0001

Data Index: 213689 (C4 (Web Text))

Max Activating Token Index: 353

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Text #4

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Max Act: 1.4117. Min Act: -0.0001

Data Index: 249711 (C4 (Web Text))

Max Activating Token Index: 442

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Text #5

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Data Index: 1500150 (Python Code)

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Text #6

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Data Index: 406360 (C4 (Web Text))

Max Activating Token Index: 314

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Text #7

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Data Index: 401903 (C4 (Web Text))

Max Activating Token Index: 691

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Text #8

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Data Index: 730006 (C4 (Web Text))

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Text #9

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Data Index: 1034009 (C4 (Web Text))

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Text #10

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Data Index: 990515 (C4 (Web Text))

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Text #11

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Data Index: 259717 (C4 (Web Text))

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Text #12

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Data Index: 1492569 (Python Code)

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Text #13

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Data Index: 680354 (C4 (Web Text))

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Text #14

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Data Index: 790334 (C4 (Web Text))

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Text #15

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Data Index: 709014 (C4 (Web Text))

Max Activating Token Index: 5

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Text #16

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Data Index: 1656928 (Python Code)

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Text #17

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Max Act: 1.2378. Min Act: -0.0000

Data Index: 1085204 (C4 (Web Text))

Max Activating Token Index: 585

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Text #18

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Max Act: 1.4594. Min Act: -0.0001

Data Index: 758764 (C4 (Web Text))

Max Activating Token Index: 283

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Text #19

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Max Act: 1.2939. Min Act: -0.0000

Data Index: 467443 (C4 (Web Text))

Max Activating Token Index: 62

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