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

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

Neuron 5034 in Layer 1

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



Text #0

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Max Act: 0.0211. Min Act: -0.0003

Data Index: 1406347 (Python Code)

Max Activating Token Index: 661

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Text #1

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Max Act: 0.0216. Min Act: -0.0003

Data Index: 1020649 (C4 (Web Text))

Max Activating Token Index: 857

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Text #2

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 290333 (C4 (Web Text))

Max Activating Token Index: 261

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Text #3

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Max Act: 0.0206. Min Act: -0.0002

Data Index: 1524860 (Python Code)

Max Activating Token Index: 201

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Text #4

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1332149 (C4 (Web Text))

Max Activating Token Index: 159

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Text #5

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Max Act: 0.0192. Min Act: -0.0003

Data Index: 1606667 (Python Code)

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Text #6

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Data Index: 1632473 (Python Code)

Max Activating Token Index: 765

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Text #7

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Data Index: 1495640 (Python Code)

Max Activating Token Index: 781

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Text #8

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Data Index: 1466897 (Python Code)

Max Activating Token Index: 224

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Text #9

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Data Index: 1597718 (Python Code)

Max Activating Token Index: 816

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Text #10

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Data Index: 1620059 (Python Code)

Max Activating Token Index: 389

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Text #11

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Data Index: 1126533 (C4 (Web Text))

Max Activating Token Index: 297

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Text #12

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Data Index: 1601831 (Python Code)

Max Activating Token Index: 436

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Text #13

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Data Index: 269890 (C4 (Web Text))

Max Activating Token Index: 393

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Text #14

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Data Index: 1384884 (Python Code)

Max Activating Token Index: 589

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Text #15

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Data Index: 1587046 (Python Code)

Max Activating Token Index: 833

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Text #16

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Data Index: 1526275 (Python Code)

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Text #17

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Data Index: 1653716 (Python Code)

Max Activating Token Index: 445

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Text #18

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Data Index: 1613614 (Python Code)

Max Activating Token Index: 473

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Text #19

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Max Act: 0.0169. Min Act: -0.0003

Data Index: 1427121 (Python Code)

Max Activating Token Index: 151

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