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

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

Neuron 900 in Layer 0

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

Text #0

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Max Act: 0.0489. Min Act: -0.0001

Data Index: 1482759 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0427. Min Act: -0.0001

Data Index: 1599457 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0412. Min Act: -0.0001

Data Index: 1605751 (Python Code)

Max Activating Token Index: 233

Text #3

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Max Act: 0.0403. Min Act: -0.0001

Data Index: 1424663 (Python Code)

Max Activating Token Index: 50

Text #4

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Max Act: 0.0393. Min Act: -0.0002

Data Index: 1362357 (Python Code)

Max Activating Token Index: 336

Text #5

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Max Act: 0.0390. Min Act: -0.0002

Data Index: 1441245 (Python Code)

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Text #6

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Data Index: 1654095 (Python Code)

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Text #7

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Data Index: 1537327 (Python Code)

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Text #8

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Data Index: 1464038 (Python Code)

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Text #9

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Data Index: 1582469 (Python Code)

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Text #10

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Data Index: 1425207 (Python Code)

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Text #11

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Data Index: 1404886 (Python Code)

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Text #12

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Data Index: 1656585 (Python Code)

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Text #13

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Data Index: 1590622 (Python Code)

Max Activating Token Index: 414

Text #14

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Data Index: 1525971 (Python Code)

Max Activating Token Index: 470

Text #15

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Data Index: 1483973 (Python Code)

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Text #16

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Data Index: 1487165 (Python Code)

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Text #17

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Data Index: 1367045 (Python Code)

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Text #18

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Data Index: 1431905 (Python Code)

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Text #19

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Max Act: 0.0361. Min Act: -0.0001

Data Index: 1361534 (Python Code)

Max Activating Token Index: 1000