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

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

Neuron 177 in Layer 0

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

Text #0

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Max Act: 0.0278. Min Act: -0.0005

Data Index: 1450838 (Python Code)

Max Activating Token Index: 908

Text #1

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Max Act: 0.0267. Min Act: -0.0005

Data Index: 1598927 (Python Code)

Max Activating Token Index: 42

Text #2

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Max Act: 0.0261. Min Act: -0.0005

Data Index: 1419784 (Python Code)

Max Activating Token Index: 218

Text #3

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Max Act: 0.0257. Min Act: -0.0005

Data Index: 1563664 (Python Code)

Max Activating Token Index: 736

Text #4

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Max Act: 0.0259. Min Act: -0.0005

Data Index: 1577031 (Python Code)

Max Activating Token Index: 91

Text #5

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Max Act: 0.0257. Min Act: -0.0005

Data Index: 1643134 (Python Code)

Max Activating Token Index: 56

Text #6

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Data Index: 1386634 (Python Code)

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Text #7

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Data Index: 1524031 (Python Code)

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Text #8

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Data Index: 1373586 (Python Code)

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Text #9

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Data Index: 1620772 (Python Code)

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Text #10

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Data Index: 1539018 (Python Code)

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Text #11

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Data Index: 1546408 (Python Code)

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Text #12

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Data Index: 1360713 (Python Code)

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Text #13

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Data Index: 1416726 (Python Code)

Max Activating Token Index: 186

Text #14

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Data Index: 1588031 (Python Code)

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Text #15

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Data Index: 1611182 (Python Code)

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Text #16

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Data Index: 1494753 (Python Code)

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Text #17

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Data Index: 1572270 (Python Code)

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Text #18

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Data Index: 1562543 (Python Code)

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Text #19

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Data Index: 1604400 (Python Code)

Max Activating Token Index: 154