Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2751 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0115. Min Range: -0.0115

Max Act: 0.0115. Min Act: -0.0003

Data Index: 1394642 (Python Code)

Max Activating Token Index: 7

Text #1

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Max Act: 0.0113. Min Act: -0.0003

Data Index: 1498783 (Python Code)

Max Activating Token Index: 32

Text #2

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Max Act: 0.0105. Min Act: -0.0003

Data Index: 1616981 (Python Code)

Max Activating Token Index: 13

Text #3

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Max Act: 0.0104. Min Act: -0.0003

Data Index: 1389276 (Python Code)

Max Activating Token Index: 64

Text #4

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Max Act: 0.0103. Min Act: -0.0003

Data Index: 1576304 (Python Code)

Max Activating Token Index: 38

Text #5

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Max Act: 0.0103. Min Act: -0.0003

Data Index: 1488987 (Python Code)

Max Activating Token Index: 860

Text #6

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Data Index: 1426502 (Python Code)

Max Activating Token Index: 23

Text #7

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Max Act: 0.0098. Min Act: -0.0003

Data Index: 1620035 (Python Code)

Max Activating Token Index: 127

Text #8

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Data Index: 1592611 (Python Code)

Max Activating Token Index: 23

Text #9

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Data Index: 1434531 (Python Code)

Max Activating Token Index: 11

Text #10

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Data Index: 1523083 (Python Code)

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Text #11

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Max Act: 0.0093. Min Act: -0.0003

Data Index: 1443660 (Python Code)

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Text #12

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Data Index: 1563002 (Python Code)

Max Activating Token Index: 420

Text #13

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Data Index: 1504145 (Python Code)

Max Activating Token Index: 19

Text #14

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Data Index: 1439839 (Python Code)

Max Activating Token Index: 38

Text #15

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Data Index: 1545494 (Python Code)

Max Activating Token Index: 352

Text #16

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Data Index: 1411863 (Python Code)

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Text #17

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Data Index: 1567167 (Python Code)

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Text #18

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Data Index: 1496226 (Python Code)

Max Activating Token Index: 7

Text #19

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Max Act: 0.0089. Min Act: -0.0003

Data Index: 1608095 (Python Code)

Max Activating Token Index: 14