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

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

Neuron 2848 in Layer 1

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



Text #0

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Max Act: 0.0339. Min Act: -0.0003

Data Index: 518760 (C4 (Web Text))

Max Activating Token Index: 934

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Text #1

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Max Act: 0.0283. Min Act: -0.0002

Data Index: 1423842 (Python Code)

Max Activating Token Index: 756

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Text #2

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Max Act: 0.0304. Min Act: -0.0002

Data Index: 1577060 (Python Code)

Max Activating Token Index: 925

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Text #3

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 1532020 (Python Code)

Max Activating Token Index: 746

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Text #4

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Max Act: 0.0271. Min Act: -0.0002

Data Index: 376264 (C4 (Web Text))

Max Activating Token Index: 96

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Text #5

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 1603726 (Python Code)

Max Activating Token Index: 195

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Text #6

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Data Index: 1560269 (Python Code)

Max Activating Token Index: 751

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Text #7

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Data Index: 1445704 (Python Code)

Max Activating Token Index: 277

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Text #8

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Data Index: 1554548 (Python Code)

Max Activating Token Index: 887

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Text #9

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Max Act: 0.0269. Min Act: -0.0002

Data Index: 1423891 (Python Code)

Max Activating Token Index: 274

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Text #10

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Data Index: 1469130 (Python Code)

Max Activating Token Index: 738

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Text #11

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Data Index: 1642611 (Python Code)

Max Activating Token Index: 233

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Text #12

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Data Index: 1623644 (Python Code)

Max Activating Token Index: 279

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Text #13

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Data Index: 1566008 (Python Code)

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Text #14

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Data Index: 1498195 (Python Code)

Max Activating Token Index: 309

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Text #15

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Data Index: 1483677 (Python Code)

Max Activating Token Index: 1007

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Text #16

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Data Index: 1526576 (Python Code)

Max Activating Token Index: 332

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Text #17

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Data Index: 1486426 (Python Code)

Max Activating Token Index: 666

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Text #18

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Max Act: 0.0254. Min Act: -0.0002

Data Index: 1627212 (Python Code)

Max Activating Token Index: 264

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Text #19

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Max Act: 0.0239. Min Act: -0.0002

Data Index: 1602582 (Python Code)

Max Activating Token Index: 777

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