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

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

Neuron 1156 in Layer 1

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

Text #0

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Max Act: 0.0113. Min Act: -0.0003

Data Index: 1517656 (Python Code)

Max Activating Token Index: 519

Text #1

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Max Act: 0.0098. Min Act: -0.0003

Data Index: 1540912 (Python Code)

Max Activating Token Index: 729

Text #2

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 1414489 (Python Code)

Max Activating Token Index: 250

Text #3

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Max Act: 0.0099. Min Act: -0.0003

Data Index: 1483403 (Python Code)

Max Activating Token Index: 549

Text #4

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Max Act: 0.0102. Min Act: -0.0003

Data Index: 1492013 (Python Code)

Max Activating Token Index: 480

Text #5

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Max Act: 0.0097. Min Act: -0.0003

Data Index: 1515269 (Python Code)

Max Activating Token Index: 757

Text #6

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 591166 (C4 (Web Text))

Max Activating Token Index: 345

Text #7

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Data Index: 1400749 (Python Code)

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Text #8

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Data Index: 1520247 (Python Code)

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Text #9

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Data Index: 1443257 (Python Code)

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Text #10

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Data Index: 1391587 (Python Code)

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Text #11

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Data Index: 1369155 (Python Code)

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Text #12

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Data Index: 1461962 (Python Code)

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Text #13

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Data Index: 1208373 (C4 (Web Text))

Max Activating Token Index: 20

Text #14

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Data Index: 1462155 (Python Code)

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Text #15

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Data Index: 1553771 (Python Code)

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Text #16

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Data Index: 1410547 (Python Code)

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Text #17

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Data Index: 1419724 (Python Code)

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Text #18

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Data Index: 1568602 (Python Code)

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Text #19

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Max Act: 0.0082. Min Act: -0.0003

Data Index: 1519778 (Python Code)

Max Activating Token Index: 225