Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1693 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0332. Min Range: -0.0332

Max Act: 0.0332. Min Act: -0.0006

Data Index: 1531109 (Python Code)

Max Activating Token Index: 855

Text #1

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Max Act: 0.0325. Min Act: -0.0006

Data Index: 1609042 (Python Code)

Max Activating Token Index: 520

Text #2

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Max Act: 0.0312. Min Act: -0.0006

Data Index: 1635609 (Python Code)

Max Activating Token Index: 868

Text #3

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Max Act: 0.0297. Min Act: -0.0006

Data Index: 1467823 (Python Code)

Max Activating Token Index: 866

Text #4

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Max Act: 0.0298. Min Act: -0.0006

Data Index: 1592406 (Python Code)

Max Activating Token Index: 1017

Text #5

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Max Act: 0.0285. Min Act: -0.0006

Data Index: 1372609 (Python Code)

Max Activating Token Index: 807

Text #6

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Max Act: 0.0276. Min Act: -0.0006

Data Index: 1498060 (Python Code)

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Text #7

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Data Index: 1483198 (Python Code)

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Text #8

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Data Index: 1439100 (Python Code)

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Text #9

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Data Index: 1448694 (Python Code)

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Text #10

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Data Index: 1486948 (Python Code)

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Text #11

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Data Index: 1487465 (Python Code)

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Text #12

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Data Index: 1464607 (Python Code)

Max Activating Token Index: 428

Text #13

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Data Index: 1420213 (Python Code)

Max Activating Token Index: 724

Text #14

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Data Index: 1418339 (Python Code)

Max Activating Token Index: 9

Text #15

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Data Index: 1370930 (Python Code)

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Text #16

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Data Index: 1558032 (Python Code)

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Text #17

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Data Index: 1396287 (Python Code)

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Text #18

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Data Index: 1497845 (Python Code)

Max Activating Token Index: 618

Text #19

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Max Act: 0.0296. Min Act: -0.0006

Data Index: 1551899 (Python Code)

Max Activating Token Index: 641