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

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

Neuron 1943 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: 0.4785. Min Act: -0.0000

Data Index: 1057128 (C4 (Web Text))

Max Activating Token Index: 736

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Text #1

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Max Act: 0.4757. Min Act: -0.0000

Data Index: 634008 (C4 (Web Text))

Max Activating Token Index: 79

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Text #2

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Max Act: 0.4869. Min Act: -0.0000

Data Index: 7590 (C4 (Web Text))

Max Activating Token Index: 28

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Text #3

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Max Act: 0.4467. Min Act: -0.0000

Data Index: 413717 (C4 (Web Text))

Max Activating Token Index: 305

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Text #4

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Max Act: 0.4080. Min Act: -0.0000

Data Index: 1397155 (Python Code)

Max Activating Token Index: 851

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Text #5

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Max Act: 0.4372. Min Act: -0.0001

Data Index: 191929 (C4 (Web Text))

Max Activating Token Index: 3

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Text #6

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Data Index: 491226 (C4 (Web Text))

Max Activating Token Index: 455

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Text #7

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Data Index: 368965 (C4 (Web Text))

Max Activating Token Index: 116

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Text #8

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Data Index: 397658 (C4 (Web Text))

Max Activating Token Index: 362

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Text #9

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Data Index: 1121290 (C4 (Web Text))

Max Activating Token Index: 297

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Text #10

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Data Index: 494064 (C4 (Web Text))

Max Activating Token Index: 222

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Text #11

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Data Index: 1026393 (C4 (Web Text))

Max Activating Token Index: 837

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Text #12

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Data Index: 423782 (C4 (Web Text))

Max Activating Token Index: 872

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Text #13

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Max Activating Token Index: 794

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Text #14

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Data Index: 221208 (C4 (Web Text))

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Text #15

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Data Index: 415862 (C4 (Web Text))

Max Activating Token Index: 993

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Text #16

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Data Index: 233887 (C4 (Web Text))

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Text #17

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Data Index: 400018 (C4 (Web Text))

Max Activating Token Index: 78

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Text #18

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Data Index: 969291 (C4 (Web Text))

Max Activating Token Index: 825

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Text #19

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Data Index: 1416937 (Python Code)

Max Activating Token Index: 74

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