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

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

Neuron 3263 in Layer 2

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



Text #0

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Max Act: 0.0326. Min Act: -0.0002

Data Index: 1487651 (Python Code)

Max Activating Token Index: 508

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Text #1

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Max Act: 0.0256. Min Act: -0.0002

Data Index: 1068224 (C4 (Web Text))

Max Activating Token Index: 848

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Text #2

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Max Act: 0.0207. Min Act: -0.0002

Data Index: 91241 (C4 (Web Text))

Max Activating Token Index: 118

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Text #3

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Max Act: 0.0234. Min Act: -0.0002

Data Index: 1588934 (Python Code)

Max Activating Token Index: 16

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Text #4

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Data Index: 1419459 (Python Code)

Max Activating Token Index: 63

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Text #5

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Data Index: 1263283 (C4 (Web Text))

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Text #6

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Data Index: 1596630 (Python Code)

Max Activating Token Index: 166

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Text #7

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Data Index: 1442794 (Python Code)

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Text #8

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Data Index: 1502257 (Python Code)

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Text #9

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Data Index: 1425024 (Python Code)

Max Activating Token Index: 68

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Text #10

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Data Index: 692862 (C4 (Web Text))

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Text #11

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Data Index: 1591463 (Python Code)

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Text #12

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Data Index: 1462434 (Python Code)

Max Activating Token Index: 854

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Text #13

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Max Activating Token Index: 191

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Text #14

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Data Index: 1607625 (Python Code)

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Text #15

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Text #16

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Data Index: 1511738 (Python Code)

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Text #17

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Data Index: 799620 (C4 (Web Text))

Max Activating Token Index: 230

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Text #18

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Data Index: 1374110 (Python Code)

Max Activating Token Index: 875

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Text #19

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Data Index: 1362497 (Python Code)

Max Activating Token Index: 853

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