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

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

Neuron 1831 in Layer 0

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

Text #0

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Max Act: 0.0337. Min Act: -0.0004

Data Index: 1610434 (Python Code)

Max Activating Token Index: 435

Text #1

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Max Act: 0.0331. Min Act: -0.0004

Data Index: 1574499 (Python Code)

Max Activating Token Index: 128

Text #2

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Max Act: 0.0327. Min Act: -0.0004

Data Index: 1453270 (Python Code)

Max Activating Token Index: 285

Text #3

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Max Act: 0.0326. Min Act: -0.0004

Data Index: 1438830 (Python Code)

Max Activating Token Index: 26

Text #4

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Max Act: 0.0325. Min Act: -0.0004

Data Index: 1656413 (Python Code)

Max Activating Token Index: 38

Text #5

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Max Act: 0.0331. Min Act: -0.0004

Data Index: 1487687 (Python Code)

Max Activating Token Index: 744

Text #6

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Data Index: 1511716 (Python Code)

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Text #7

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Data Index: 1471103 (Python Code)

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Text #8

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Data Index: 1524023 (Python Code)

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Text #9

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Data Index: 1468389 (Python Code)

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Text #10

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Data Index: 1544183 (Python Code)

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Text #11

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Data Index: 1500405 (Python Code)

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Text #12

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Data Index: 1549087 (Python Code)

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Text #13

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Data Index: 1554417 (Python Code)

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Text #14

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Data Index: 1587629 (Python Code)

Max Activating Token Index: 392

Text #15

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Data Index: 1487339 (Python Code)

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Text #16

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Data Index: 1554090 (Python Code)

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Text #17

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Data Index: 1585515 (Python Code)

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Text #18

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Data Index: 1598009 (Python Code)

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Text #19

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Data Index: 1577364 (Python Code)

Max Activating Token Index: 17