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

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

Neuron 3287 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: 1.7598. Min Act: -0.0000

Data Index: 177478 (C4 (Web Text))

Max Activating Token Index: 127

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Text #1

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Data Index: 1090907 (C4 (Web Text))

Max Activating Token Index: 913

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Text #2

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Max Act: 1.6646. Min Act: -0.0000

Data Index: 1124086 (C4 (Web Text))

Max Activating Token Index: 109

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Text #3

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Max Act: 1.5017. Min Act: -0.0000

Data Index: 927610 (C4 (Web Text))

Max Activating Token Index: 342

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Text #4

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Data Index: 58049 (C4 (Web Text))

Max Activating Token Index: 813

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Text #5

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Data Index: 419586 (C4 (Web Text))

Max Activating Token Index: 502

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Text #6

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Data Index: 1212580 (C4 (Web Text))

Max Activating Token Index: 589

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Text #7

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Data Index: 927933 (C4 (Web Text))

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Text #8

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Data Index: 621545 (C4 (Web Text))

Max Activating Token Index: 307

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Text #9

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Data Index: 349105 (C4 (Web Text))

Max Activating Token Index: 725

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Text #10

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Data Index: 1650829 (Python Code)

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Text #11

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Text #12

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Data Index: 1146329 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 249757 (C4 (Web Text))

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Text #15

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Data Index: 774730 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1579342 (Python Code)

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Text #18

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Max Act: 1.2430. Min Act: -0.0000

Data Index: 1046291 (C4 (Web Text))

Max Activating Token Index: 673

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Text #19

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Data Index: 939344 (C4 (Web Text))

Max Activating Token Index: 325

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