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

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

Neuron 898 in Layer 2

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: 0.0109. Min Act: -0.0002

Data Index: 1076997 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 45695 (C4 (Web Text))

Max Activating Token Index: 984

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Text #2

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1369022 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 210623 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #4

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Data Index: 636319 (C4 (Web Text))

Max Activating Token Index: 1002

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Text #5

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Data Index: 1016401 (C4 (Web Text))

Max Activating Token Index: 1014

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Text #6

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Data Index: 291743 (C4 (Web Text))

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Text #7

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Data Index: 550160 (C4 (Web Text))

Max Activating Token Index: 930

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Text #8

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Data Index: 294545 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #9

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Data Index: 869766 (C4 (Web Text))

Max Activating Token Index: 983

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Text #10

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Data Index: 802858 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 553757 (C4 (Web Text))

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Text #13

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Data Index: 779936 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1611316 (Python Code)

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Text #16

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Data Index: 904936 (C4 (Web Text))

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Text #17

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Data Index: 697116 (C4 (Web Text))

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Text #18

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Data Index: 1649072 (Python Code)

Max Activating Token Index: 1023

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Text #19

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Data Index: 653765 (C4 (Web Text))

Max Activating Token Index: 895

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