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

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

Neuron 1090 in Layer 0

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

Text #0

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Max Act: 0.0205. Min Act: -0.0005

Data Index: 1494578 (Python Code)

Max Activating Token Index: 544

Text #1

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Max Act: 0.0177. Min Act: -0.0005

Data Index: 1624035 (Python Code)

Max Activating Token Index: 104

Text #2

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Max Act: 0.0177. Min Act: -0.0005

Data Index: 1450855 (Python Code)

Max Activating Token Index: 753

Text #3

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Max Act: 0.0173. Min Act: -0.0005

Data Index: 1446627 (Python Code)

Max Activating Token Index: 548

Text #4

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Data Index: 1534370 (Python Code)

Max Activating Token Index: 884

Text #5

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Data Index: 1593655 (Python Code)

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Text #6

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Data Index: 1650381 (Python Code)

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Text #7

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Data Index: 1526488 (Python Code)

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Text #8

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Data Index: 1519285 (Python Code)

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Text #9

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Data Index: 1620424 (Python Code)

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Text #10

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Data Index: 1522644 (Python Code)

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Text #11

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Data Index: 1577636 (Python Code)

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Text #12

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Data Index: 1560027 (Python Code)

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Text #13

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Data Index: 1413908 (Python Code)

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Text #14

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Data Index: 1618267 (Python Code)

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Text #15

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Data Index: 1388615 (Python Code)

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Text #16

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Data Index: 1608683 (Python Code)

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Text #17

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Data Index: 1503607 (Python Code)

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Text #18

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Data Index: 1491364 (Python Code)

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Text #19

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Data Index: 1594743 (Python Code)

Max Activating Token Index: 672