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

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

Neuron 896 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: 0.2992. Min Act: -0.0000

Data Index: 186631 (C4 (Web Text))

Max Activating Token Index: 164

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Text #1

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Max Act: 0.2882. Min Act: -0.0000

Data Index: 1219308 (C4 (Web Text))

Max Activating Token Index: 484

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Truncated

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Text #2

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Max Act: 0.2828. Min Act: -0.0000

Data Index: 247367 (C4 (Web Text))

Max Activating Token Index: 405

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Text #3

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Max Act: 0.2810. Min Act: -0.0000

Data Index: 1097787 (C4 (Web Text))

Max Activating Token Index: 150

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Truncated

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Text #4

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Data Index: 1398233 (Python Code)

Max Activating Token Index: 948

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Truncated

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Text #5

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Data Index: 958482 (C4 (Web Text))

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Text #6

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Data Index: 1076730 (C4 (Web Text))

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Text #7

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Data Index: 361088 (C4 (Web Text))

Max Activating Token Index: 892

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Truncated

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Text #8

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Data Index: 648098 (C4 (Web Text))

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Text #9

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Data Index: 706625 (C4 (Web Text))

Max Activating Token Index: 190

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Truncated

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Text #10

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Truncated

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Text #11

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Text #12

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Data Index: 895624 (C4 (Web Text))

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Text #13

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Data Index: 1507570 (Python Code)

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Text #14

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Data Index: 186650 (C4 (Web Text))

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Text #15

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Data Index: 1336860 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 624716 (C4 (Web Text))

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Text #18

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Data Index: 249491 (C4 (Web Text))

Max Activating Token Index: 165

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Truncated

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Text #19

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Data Index: 1144196 (C4 (Web Text))

Max Activating Token Index: 558

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