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

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

Neuron 77 in Layer 0

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

Text #0

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Max Act: 0.0469. Min Act: -0.0004

Data Index: 1451095 (Python Code)

Max Activating Token Index: 276

Text #1

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Data Index: 1462373 (Python Code)

Max Activating Token Index: 1023

Text #2

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Data Index: 1559179 (Python Code)

Max Activating Token Index: 316

Text #3

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Max Act: 0.0420. Min Act: -0.0004

Data Index: 1500641 (Python Code)

Max Activating Token Index: 849

Text #4

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Max Act: 0.0395. Min Act: -0.0004

Data Index: 1376762 (Python Code)

Max Activating Token Index: 654

Text #5

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Data Index: 1601002 (Python Code)

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Text #6

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Data Index: 1600848 (Python Code)

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Text #7

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Data Index: 1383601 (Python Code)

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Text #8

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Data Index: 1513236 (Python Code)

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Data Index: 1404512 (Python Code)

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Text #10

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Data Index: 1529240 (Python Code)

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Text #11

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Data Index: 1401382 (Python Code)

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Text #12

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Data Index: 1365539 (Python Code)

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Text #13

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Data Index: 1508871 (Python Code)

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Text #14

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Data Index: 1482797 (Python Code)

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Text #15

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Data Index: 1539369 (Python Code)

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Text #16

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Data Index: 1486737 (Python Code)

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Text #17

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Data Index: 1423278 (Python Code)

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Text #18

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Data Index: 1502682 (Python Code)

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Text #19

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Data Index: 1562907 (Python Code)

Max Activating Token Index: 457