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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1730 in Layer 7

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.9315. Min Act: -0.0000

Data Index: 638655 (C4 (Web Text))

Max Activating Token Index: 82

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Text #1

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Max Act: 1.6805. Min Act: -0.0000

Data Index: 780558 (C4 (Web Text))

Max Activating Token Index: 832

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Text #2

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Max Act: 1.5412. Min Act: -0.0000

Data Index: 22215 (C4 (Web Text))

Max Activating Token Index: 974

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Text #3

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Max Act: 1.6430. Min Act: -0.0000

Data Index: 679517 (C4 (Web Text))

Max Activating Token Index: 809

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Text #4

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Data Index: 39428 (C4 (Web Text))

Max Activating Token Index: 557

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Text #5

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Data Index: 1048625 (C4 (Web Text))

Max Activating Token Index: 458

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Text #6

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Data Index: 97166 (C4 (Web Text))

Max Activating Token Index: 706

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Text #7

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Data Index: 1175365 (C4 (Web Text))

Max Activating Token Index: 330

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Text #8

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Data Index: 913600 (C4 (Web Text))

Max Activating Token Index: 681

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Text #9

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Data Index: 1057145 (C4 (Web Text))

Max Activating Token Index: 850

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Text #10

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Data Index: 523871 (C4 (Web Text))

Max Activating Token Index: 844

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Text #11

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Data Index: 1106361 (C4 (Web Text))

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Text #12

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Data Index: 40970 (C4 (Web Text))

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Text #13

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Data Index: 59729 (C4 (Web Text))

Max Activating Token Index: 980

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Text #14

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Data Index: 491153 (C4 (Web Text))

Max Activating Token Index: 994

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Text #15

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Data Index: 74586 (C4 (Web Text))

Max Activating Token Index: 430

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Text #16

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Data Index: 1524229 (Python Code)

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Text #17

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Data Index: 1415207 (Python Code)

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Text #18

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Max Act: 1.2497. Min Act: -0.0000

Data Index: 776817 (C4 (Web Text))

Max Activating Token Index: 996

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Text #19

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Data Index: 1072008 (C4 (Web Text))

Max Activating Token Index: 866

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