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

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

Neuron 1063 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: 1.2574. Min Act: -0.0000

Data Index: 654294 (C4 (Web Text))

Max Activating Token Index: 466

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Text #1

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Max Act: 0.8396. Min Act: -0.0000

Data Index: 786872 (C4 (Web Text))

Max Activating Token Index: 570

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Text #2

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Max Act: 0.8626. Min Act: -0.0000

Data Index: 1028495 (C4 (Web Text))

Max Activating Token Index: 592

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Text #3

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Max Act: 0.7403. Min Act: -0.0000

Data Index: 1594551 (Python Code)

Max Activating Token Index: 136

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Text #4

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Data Index: 1601907 (Python Code)

Max Activating Token Index: 804

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Text #5

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Data Index: 670308 (C4 (Web Text))

Max Activating Token Index: 196

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Text #6

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Data Index: 1097453 (C4 (Web Text))

Max Activating Token Index: 308

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Text #7

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Data Index: 625043 (C4 (Web Text))

Max Activating Token Index: 433

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Text #8

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Data Index: 742741 (C4 (Web Text))

Max Activating Token Index: 607

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Text #9

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Data Index: 927888 (C4 (Web Text))

Max Activating Token Index: 294

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Text #10

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Data Index: 457099 (C4 (Web Text))

Max Activating Token Index: 819

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Text #11

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Data Index: 742160 (C4 (Web Text))

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Text #12

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Data Index: 1022461 (C4 (Web Text))

Max Activating Token Index: 848

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Text #13

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Text #14

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Data Index: 295720 (C4 (Web Text))

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Text #15

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Data Index: 592850 (C4 (Web Text))

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Text #16

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Data Index: 218554 (C4 (Web Text))

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Text #17

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Data Index: 1192086 (C4 (Web Text))

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Text #18

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Max Act: 0.5740. Min Act: -0.0000

Data Index: 1017214 (C4 (Web Text))

Max Activating Token Index: 55

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Text #19

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Data Index: 1079181 (C4 (Web Text))

Max Activating Token Index: 790

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