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

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

Neuron 1919 in Layer 7

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: 1.6529. Min Act: -0.0000

Data Index: 1285492 (C4 (Web Text))

Max Activating Token Index: 17

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Text #1

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Data Index: 890538 (C4 (Web Text))

Max Activating Token Index: 431

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Text #2

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Max Act: 1.3817. Min Act: -0.0000

Data Index: 978145 (C4 (Web Text))

Max Activating Token Index: 88

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Text #3

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Max Act: 1.4266. Min Act: -0.0000

Data Index: 410913 (C4 (Web Text))

Max Activating Token Index: 849

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Text #4

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Data Index: 498519 (C4 (Web Text))

Max Activating Token Index: 868

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Text #5

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Data Index: 348097 (C4 (Web Text))

Max Activating Token Index: 789

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Text #6

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Text #7

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Text #8

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Data Index: 358984 (C4 (Web Text))

Max Activating Token Index: 846

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Text #9

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Data Index: 996419 (C4 (Web Text))

Max Activating Token Index: 883

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Text #10

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 827

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Text #14

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Text #15

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Data Index: 591075 (C4 (Web Text))

Max Activating Token Index: 943

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Text #16

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Data Index: 1090871 (C4 (Web Text))

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Text #17

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Data Index: 427694 (C4 (Web Text))

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Text #18

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Data Index: 1312094 (C4 (Web Text))

Max Activating Token Index: 908

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Text #19

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Data Index: 1057009 (C4 (Web Text))

Max Activating Token Index: 983

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