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

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

Neuron 5103 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: 0.0295. Min Act: -0.0000

Data Index: 1158207 (C4 (Web Text))

Max Activating Token Index: 981

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Text #1

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Data Index: 933450 (C4 (Web Text))

Max Activating Token Index: 944

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Text #2

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Max Act: 0.0287. Min Act: -0.0000

Data Index: 909820 (C4 (Web Text))

Max Activating Token Index: 940

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Text #3

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Max Act: 0.0292. Min Act: -0.0000

Data Index: 1548839 (Python Code)

Max Activating Token Index: 930

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Text #4

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Data Index: 1257730 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #5

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Data Index: 1603343 (Python Code)

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Text #6

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Data Index: 1384536 (Python Code)

Max Activating Token Index: 833

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Text #7

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Data Index: 729925 (C4 (Web Text))

Max Activating Token Index: 989

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Text #8

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Data Index: 720430 (C4 (Web Text))

Max Activating Token Index: 903

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Text #9

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Data Index: 1349730 (C4 (Web Text))

Max Activating Token Index: 986

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Text #10

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Data Index: 822045 (C4 (Web Text))

Max Activating Token Index: 947

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Text #11

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Text #12

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Data Index: 733654 (C4 (Web Text))

Max Activating Token Index: 935

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Text #13

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Data Index: 132025 (C4 (Web Text))

Max Activating Token Index: 866

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Text #14

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Data Index: 676906 (C4 (Web Text))

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Text #15

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Data Index: 941733 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #16

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Data Index: 1095413 (C4 (Web Text))

Max Activating Token Index: 985

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Text #17

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Data Index: 1125266 (C4 (Web Text))

Max Activating Token Index: 889

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Text #18

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Data Index: 1577799 (Python Code)

Max Activating Token Index: 1007

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Text #19

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Data Index: 1642581 (Python Code)

Max Activating Token Index: 943

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