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

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

Neuron 1200 in Layer 0

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

Text #0

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Max Act: 0.0375. Min Act: -0.0005

Data Index: 1654812 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0370. Min Act: -0.0004

Data Index: 1582437 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0349. Min Act: -0.0004

Data Index: 1480104 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0330. Min Act: -0.0005

Data Index: 1408234 (Python Code)

Max Activating Token Index: 22

Text #4

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Max Act: 0.0326. Min Act: -0.0004

Data Index: 1654420 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0325. Min Act: -0.0004

Data Index: 1436532 (Python Code)

Max Activating Token Index: 1023

Text #6

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Max Act: 0.0311. Min Act: -0.0004

Data Index: 1382843 (Python Code)

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Text #7

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Data Index: 1414307 (Python Code)

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Text #8

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Data Index: 1613817 (Python Code)

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Text #9

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Data Index: 1410415 (Python Code)

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Text #10

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Data Index: 1506431 (Python Code)

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Text #11

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Data Index: 1497574 (Python Code)

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Text #12

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Data Index: 1536195 (Python Code)

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Text #13

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Data Index: 1629826 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1533116 (Python Code)

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Text #15

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Data Index: 1394401 (Python Code)

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Text #16

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Data Index: 1557573 (Python Code)

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Text #17

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Data Index: 1501669 (Python Code)

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Text #18

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Data Index: 1479540 (Python Code)

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Text #19

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Data Index: 1363251 (Python Code)

Max Activating Token Index: 49