Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3436 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 1610130 (Python Code)

Max Activating Token Index: 11

Text #1

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1567678 (Python Code)

Max Activating Token Index: 685

Text #2

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Data Index: 1360693 (Python Code)

Max Activating Token Index: 820

Text #3

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Max Act: 0.0119. Min Act: -0.0002

Data Index: 1494742 (Python Code)

Max Activating Token Index: 462

Text #4

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 1504350 (Python Code)

Max Activating Token Index: 560

Text #5

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 1362906 (Python Code)

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Text #6

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Data Index: 1502357 (Python Code)

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Text #7

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Data Index: 1623943 (Python Code)

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Text #8

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Data Index: 1646739 (Python Code)

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Text #9

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Data Index: 1435124 (Python Code)

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Text #10

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Data Index: 1563816 (Python Code)

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Text #11

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Data Index: 1618510 (Python Code)

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Text #12

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Data Index: 1590559 (Python Code)

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Text #13

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Data Index: 1419513 (Python Code)

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Text #14

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Data Index: 1426963 (Python Code)

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Text #15

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Data Index: 1514400 (Python Code)

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Text #16

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Data Index: 1464444 (Python Code)

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Text #17

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Data Index: 1454920 (Python Code)

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Text #18

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Data Index: 1632581 (Python Code)

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Text #19

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Data Index: 1608801 (Python Code)

Max Activating Token Index: 963