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

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

Neuron 2100 in Layer 0

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

Text #0

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Max Act: 0.0388. Min Act: -0.0003

Data Index: 1513510 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 1519956 (Python Code)

Max Activating Token Index: 246

Text #2

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 1500223 (Python Code)

Max Activating Token Index: 16

Text #3

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Max Act: 0.0381. Min Act: -0.0003

Data Index: 1506013 (Python Code)

Max Activating Token Index: 31

Text #4

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Max Act: 0.0371. Min Act: -0.0003

Data Index: 1628039 (Python Code)

Max Activating Token Index: 127

Text #5

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Max Act: 0.0365. Min Act: -0.0003

Data Index: 1374599 (Python Code)

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Text #6

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Data Index: 1574820 (Python Code)

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Text #7

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Data Index: 1447699 (Python Code)

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Text #8

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Data Index: 1454837 (Python Code)

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Text #9

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Data Index: 1601333 (Python Code)

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Text #10

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Data Index: 1605302 (Python Code)

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Text #11

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Data Index: 1469504 (Python Code)

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Text #12

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Data Index: 1497511 (Python Code)

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Text #13

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Data Index: 1531415 (Python Code)

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Text #14

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Data Index: 1467049 (Python Code)

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Text #15

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Data Index: 1370339 (Python Code)

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Text #16

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Data Index: 1618074 (Python Code)

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Text #17

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Data Index: 1562315 (Python Code)

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Text #18

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Data Index: 1491462 (Python Code)

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Text #19

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Data Index: 1429916 (Python Code)

Max Activating Token Index: 638