Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1230 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0482. Min Act: -0.0004

Data Index: 1624022 (Python Code)

Max Activating Token Index: 303

Text #1

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Max Act: 0.0451. Min Act: -0.0003

Data Index: 1528730 (Python Code)

Max Activating Token Index: 520

Text #2

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Max Act: 0.0436. Min Act: -0.0003

Data Index: 1518833 (Python Code)

Max Activating Token Index: 696

Text #3

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Max Act: 0.0435. Min Act: -0.0003

Data Index: 1541752 (Python Code)

Max Activating Token Index: 266

Text #4

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 1517006 (Python Code)

Max Activating Token Index: 503

Text #5

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Max Act: 0.0422. Min Act: -0.0003

Data Index: 1440538 (Python Code)

Max Activating Token Index: 505

Text #6

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Max Act: 0.0411. Min Act: -0.0003

Data Index: 536963 (C4 (Web Text))

Max Activating Token Index: 280

Text #7

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Data Index: 1621809 (Python Code)

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Text #8

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Data Index: 1402309 (Python Code)

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Text #9

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 1448402 (Python Code)

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Text #10

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Data Index: 1582579 (Python Code)

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Text #11

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Data Index: 1534534 (Python Code)

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Text #12

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Data Index: 1635949 (Python Code)

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Text #13

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Data Index: 1564794 (Python Code)

Max Activating Token Index: 197

Text #14

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Data Index: 1383863 (Python Code)

Max Activating Token Index: 991

Text #15

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Data Index: 1505239 (Python Code)

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Text #16

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Data Index: 1400045 (Python Code)

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Text #17

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Data Index: 1606088 (Python Code)

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Text #18

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Data Index: 1466784 (Python Code)

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Text #19

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 1645915 (Python Code)

Max Activating Token Index: 593