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

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

Neuron 38 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0068. Min Act: -0.0003

Data Index: 300029 (C4 (Web Text))

Max Activating Token Index: 568

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Truncated

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Text #1

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Max Act: 0.0064. Min Act: -0.0003

Data Index: 1278703 (C4 (Web Text))

Max Activating Token Index: 851

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Truncated

Full Text #1


Text #2

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Max Act: 0.0059. Min Act: -0.0003

Data Index: 1143277 (C4 (Web Text))

Max Activating Token Index: 731

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Truncated

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Text #3

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Max Act: 0.0061. Min Act: -0.0002

Data Index: 262269 (C4 (Web Text))

Max Activating Token Index: 573

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Truncated

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Text #4

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Data Index: 1117616 (C4 (Web Text))

Max Activating Token Index: 611

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Truncated

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Text #5

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Data Index: 1158854 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 1071841 (C4 (Web Text))

Max Activating Token Index: 898

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Truncated

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Text #7

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Data Index: 261022 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1601277 (Python Code)

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Truncated

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Text #9

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Data Index: 248788 (C4 (Web Text))

Max Activating Token Index: 553

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Truncated

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Text #10

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Data Index: 679577 (C4 (Web Text))

Max Activating Token Index: 850

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 1058445 (C4 (Web Text))

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Truncated

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Text #13

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Truncated

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Text #14

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Data Index: 49725 (C4 (Web Text))

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Truncated

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Text #15

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Data Index: 1295437 (C4 (Web Text))

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Truncated

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Text #16

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Truncated

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Text #17

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Data Index: 524979 (C4 (Web Text))

Max Activating Token Index: 578

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Truncated

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Text #18

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Max Act: 0.0059. Min Act: -0.0002

Data Index: 1333827 (C4 (Web Text))

Max Activating Token Index: 397

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Truncated

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Text #19

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Data Index: 369032 (C4 (Web Text))

Max Activating Token Index: 757

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