Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 233 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0444. Min Act: -0.0003

Data Index: 1427582 (Python Code)

Max Activating Token Index: 696

Text #1

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 1637568 (Python Code)

Max Activating Token Index: 775

Text #2

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Max Act: 0.0390. Min Act: -0.0003

Data Index: 1638740 (Python Code)

Max Activating Token Index: 200

Text #3

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 1572461 (Python Code)

Max Activating Token Index: 769

Text #4

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Max Act: 0.0375. Min Act: -0.0003

Data Index: 836664 (C4 (Web Text))

Max Activating Token Index: 487

Text #5

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 1581325 (Python Code)

Max Activating Token Index: 631

Text #6

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Max Act: 0.0369. Min Act: -0.0003

Data Index: 1404186 (Python Code)

Max Activating Token Index: 422

Text #7

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Max Act: 0.0346. Min Act: -0.0003

Data Index: 1656840 (Python Code)

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Text #8

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Data Index: 1498273 (Python Code)

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Text #9

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Data Index: 1612433 (Python Code)

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Text #10

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Data Index: 1531924 (Python Code)

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Text #11

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Data Index: 1648184 (Python Code)

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Text #12

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Data Index: 1221392 (C4 (Web Text))

Max Activating Token Index: 721

Text #13

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Data Index: 1504199 (Python Code)

Max Activating Token Index: 272

Text #14

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Data Index: 1610265 (Python Code)

Max Activating Token Index: 706

Text #15

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Data Index: 1410113 (Python Code)

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Text #16

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Data Index: 1627903 (Python Code)

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Text #17

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Text #18

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Data Index: 1519816 (Python Code)

Max Activating Token Index: 561

Text #19

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Max Act: 0.0322. Min Act: -0.0003

Data Index: 923869 (C4 (Web Text))

Max Activating Token Index: 42