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

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

Neuron 3196 in Layer 1

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

Text #0

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Max Act: 0.0616. Min Act: -0.0002

Data Index: 1389546 (Python Code)

Max Activating Token Index: 79

Text #1

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Max Act: 0.0591. Min Act: -0.0002

Data Index: 1369863 (Python Code)

Max Activating Token Index: 55

Text #2

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Max Act: 0.0553. Min Act: -0.0003

Data Index: 1537047 (Python Code)

Max Activating Token Index: 68

Text #3

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Max Act: 0.0529. Min Act: -0.0002

Data Index: 1586803 (Python Code)

Max Activating Token Index: 66

Text #4

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Max Act: 0.0491. Min Act: -0.0003

Data Index: 1428395 (Python Code)

Max Activating Token Index: 489

Text #5

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Max Act: 0.0500. Min Act: -0.0003

Data Index: 1552081 (Python Code)

Max Activating Token Index: 115

Text #6

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Max Act: 0.0497. Min Act: -0.0003

Data Index: 1388988 (Python Code)

Max Activating Token Index: 259

Text #7

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Data Index: 1530220 (Python Code)

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Text #8

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Data Index: 1418792 (Python Code)

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Text #9

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Data Index: 1622489 (Python Code)

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Text #10

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Data Index: 1603772 (Python Code)

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Text #11

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Data Index: 1471874 (Python Code)

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Text #12

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Data Index: 1493408 (Python Code)

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Text #13

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Data Index: 1580154 (Python Code)

Max Activating Token Index: 251

Text #14

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Data Index: 1516572 (Python Code)

Max Activating Token Index: 370

Text #15

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Data Index: 1366818 (Python Code)

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Text #16

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Data Index: 1555727 (Python Code)

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Text #17

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Data Index: 1382222 (Python Code)

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Text #18

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Data Index: 1549698 (Python Code)

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Text #19

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Data Index: 1583888 (Python Code)

Max Activating Token Index: 209