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

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

Neuron 2531 in Layer 8

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: 2.4858. Min Act: -0.0000

Data Index: 883437 (C4 (Web Text))

Max Activating Token Index: 378

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Text #1

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Data Index: 1189760 (C4 (Web Text))

Max Activating Token Index: 319

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Text #2

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Max Act: 2.3914. Min Act: -0.0000

Data Index: 870391 (C4 (Web Text))

Max Activating Token Index: 697

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Text #3

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Max Act: 2.2323. Min Act: -0.0000

Data Index: 1025455 (C4 (Web Text))

Max Activating Token Index: 750

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Text #4

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Data Index: 149555 (C4 (Web Text))

Max Activating Token Index: 245

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Text #5

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Data Index: 594182 (C4 (Web Text))

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Text #6

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Data Index: 242006 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 528493 (C4 (Web Text))

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Text #9

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Data Index: 973164 (C4 (Web Text))

Max Activating Token Index: 704

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Text #10

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Data Index: 559145 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 113241 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 940763 (C4 (Web Text))

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Text #18

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Data Index: 1430499 (Python Code)

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Text #19

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Data Index: 907289 (C4 (Web Text))

Max Activating Token Index: 285

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