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

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

Neuron 3684 in Layer 5

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

Text #0

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Max Act: 0.2937. Min Act: -0.0000

Data Index: 1426717 (Python Code)

Max Activating Token Index: 364

Text #1

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Max Act: 0.1937. Min Act: -0.0000

Data Index: 1513876 (Python Code)

Max Activating Token Index: 311

Text #2

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Max Act: 0.1518. Min Act: -0.0000

Data Index: 1589864 (Python Code)

Max Activating Token Index: 547

Text #3

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Max Act: 0.1245. Min Act: -0.0000

Data Index: 659715 (C4 (Web Text))

Max Activating Token Index: 678

Text #4

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Max Act: 0.1385. Min Act: -0.0000

Data Index: 648073 (C4 (Web Text))

Max Activating Token Index: 830

Text #5

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Data Index: 1448958 (Python Code)

Max Activating Token Index: 674

Text #6

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Data Index: 1566517 (Python Code)

Max Activating Token Index: 278

Text #7

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Data Index: 1510198 (Python Code)

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Text #8

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Data Index: 1548043 (Python Code)

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Text #9

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Data Index: 1592207 (Python Code)

Max Activating Token Index: 304

Text #10

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Data Index: 318387 (C4 (Web Text))

Max Activating Token Index: 302

Text #11

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Data Index: 839711 (C4 (Web Text))

Max Activating Token Index: 603

Text #12

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Max Activating Token Index: 173

Text #13

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Data Index: 836802 (C4 (Web Text))

Max Activating Token Index: 384

Text #14

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Data Index: 1556627 (Python Code)

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Text #15

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Data Index: 1479489 (Python Code)

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Text #16

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Data Index: 1594929 (Python Code)

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Text #17

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Data Index: 1429625 (Python Code)

Max Activating Token Index: 1010

Text #18

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Data Index: 484678 (C4 (Web Text))

Max Activating Token Index: 936

Text #19

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Data Index: 149370 (C4 (Web Text))

Max Activating Token Index: 509