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

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

Neuron 1 in Layer 1

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

Text #0

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Max Act: 0.0147. Min Act: -0.0006

Data Index: 1618214 (Python Code)

Max Activating Token Index: 183

Text #1

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Max Act: 0.0142. Min Act: -0.0006

Data Index: 1615354 (Python Code)

Max Activating Token Index: 866

Text #2

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Max Act: 0.0138. Min Act: -0.0006

Data Index: 1393705 (Python Code)

Max Activating Token Index: 664

Text #3

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 1483467 (Python Code)

Max Activating Token Index: 418

Text #4

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Max Act: 0.0131. Min Act: -0.0006

Data Index: 1582791 (Python Code)

Max Activating Token Index: 986

Text #5

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Max Act: 0.0132. Min Act: -0.0006

Data Index: 1545879 (Python Code)

Max Activating Token Index: 720

Text #6

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 1383764 (Python Code)

Max Activating Token Index: 476

Text #7

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Data Index: 1567526 (Python Code)

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Text #8

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1636456 (Python Code)

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Text #9

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Data Index: 1528243 (Python Code)

Max Activating Token Index: 1000

Text #10

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Data Index: 1450465 (Python Code)

Max Activating Token Index: 820

Text #11

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Data Index: 1533431 (Python Code)

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Text #12

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Data Index: 1415525 (Python Code)

Max Activating Token Index: 278

Text #13

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Data Index: 1371333 (Python Code)

Max Activating Token Index: 128

Text #14

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Data Index: 1490828 (Python Code)

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Text #15

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Data Index: 1376660 (Python Code)

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Text #16

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Data Index: 1414427 (Python Code)

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Text #17

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Data Index: 1566527 (Python Code)

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Text #18

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Data Index: 1483408 (Python Code)

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Text #19

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1620011 (Python Code)

Max Activating Token Index: 475