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

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

Neuron 3180 in Layer 0

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

Text #0

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Max Act: 0.0615. Min Act: -0.0002

Data Index: 1379187 (Python Code)

Max Activating Token Index: 883

Text #1

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Max Act: 0.0568. Min Act: -0.0002

Data Index: 1534168 (Python Code)

Max Activating Token Index: 335

Text #2

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Max Act: 0.0589. Min Act: -0.0002

Data Index: 1431007 (Python Code)

Max Activating Token Index: 843

Text #3

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Max Act: 0.0564. Min Act: -0.0002

Data Index: 1558747 (Python Code)

Max Activating Token Index: 221

Text #4

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Max Act: 0.0560. Min Act: -0.0002

Data Index: 1434237 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 1386342 (Python Code)

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Text #6

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Data Index: 1490584 (Python Code)

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Text #7

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Data Index: 1384921 (Python Code)

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Text #8

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Data Index: 1375019 (Python Code)

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Text #9

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Data Index: 1599373 (Python Code)

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Text #10

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Data Index: 1526073 (Python Code)

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Text #11

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Data Index: 1523536 (Python Code)

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Text #12

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Data Index: 1491310 (Python Code)

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Text #13

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Data Index: 1404894 (Python Code)

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Text #14

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Data Index: 1601472 (Python Code)

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Text #15

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Data Index: 1615591 (Python Code)

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Text #16

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Data Index: 1450137 (Python Code)

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Text #17

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Data Index: 1633055 (Python Code)

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Text #18

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Data Index: 1360947 (Python Code)

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Text #19

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Data Index: 1570238 (Python Code)

Max Activating Token Index: 371