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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3067 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0880. Min Act: -0.0001

Data Index: 1414664 (Python Code)

Max Activating Token Index: 949

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Text #1

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Data Index: 753671 (C4 (Web Text))

Max Activating Token Index: 247

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Text #2

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Max Act: 0.0590. Min Act: -0.0001

Data Index: 167715 (C4 (Web Text))

Max Activating Token Index: 167

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Text #3

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Max Act: 0.0558. Min Act: -0.0001

Data Index: 361062 (C4 (Web Text))

Max Activating Token Index: 884

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Text #4

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Data Index: 831457 (C4 (Web Text))

Max Activating Token Index: 957

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Text #5

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Data Index: 987011 (C4 (Web Text))

Max Activating Token Index: 924

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Text #6

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Data Index: 312699 (C4 (Web Text))

Max Activating Token Index: 70

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Text #7

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Data Index: 1336997 (C4 (Web Text))

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Text #8

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Data Index: 839127 (C4 (Web Text))

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Text #9

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Data Index: 1328828 (C4 (Web Text))

Max Activating Token Index: 34

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Text #10

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Text #11

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Text #12

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Data Index: 249032 (C4 (Web Text))

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Text #13

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Data Index: 412824 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1221974 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 331084 (C4 (Web Text))

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Text #18

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Data Index: 836695 (C4 (Web Text))

Max Activating Token Index: 258

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Text #19

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Data Index: 1213539 (C4 (Web Text))

Max Activating Token Index: 969

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