Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 779 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0286. Min Act: -0.0005

Data Index: 1526025 (Python Code)

Max Activating Token Index: 344

Text #1

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Max Act: 0.0277. Min Act: -0.0005

Data Index: 1629295 (Python Code)

Max Activating Token Index: 629

Text #2

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Max Act: 0.0263. Min Act: -0.0005

Data Index: 1640123 (Python Code)

Max Activating Token Index: 650

Text #3

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Max Act: 0.0268. Min Act: -0.0005

Data Index: 1436662 (Python Code)

Max Activating Token Index: 42

Text #4

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Max Act: 0.0272. Min Act: -0.0005

Data Index: 1645734 (Python Code)

Max Activating Token Index: 262

Text #5

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Max Act: 0.0266. Min Act: -0.0005

Data Index: 1427833 (Python Code)

Max Activating Token Index: 691

Text #6

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Data Index: 1480381 (Python Code)

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Text #7

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Data Index: 1477647 (Python Code)

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Text #8

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Data Index: 1535144 (Python Code)

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Text #9

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Data Index: 1549458 (Python Code)

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Text #10

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Data Index: 1650396 (Python Code)

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Text #11

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Data Index: 1457602 (Python Code)

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Text #12

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Data Index: 1618629 (Python Code)

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Text #13

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Data Index: 1478234 (Python Code)

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Text #14

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Data Index: 1618979 (Python Code)

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Text #15

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Data Index: 1443319 (Python Code)

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Text #16

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Data Index: 1471874 (Python Code)

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Text #17

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Data Index: 1610485 (Python Code)

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Text #18

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Data Index: 1615766 (Python Code)

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Text #19

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Data Index: 1582523 (Python Code)

Max Activating Token Index: 429