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

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

Neuron 1541 in Layer 1

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

Text #0

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Max Act: 0.0475. Min Act: -0.0004

Data Index: 1643779 (Python Code)

Max Activating Token Index: 603

Text #1

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Max Act: 0.0412. Min Act: -0.0004

Data Index: 1423316 (Python Code)

Max Activating Token Index: 54

Text #2

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Max Act: 0.0412. Min Act: -0.0004

Data Index: 1483328 (Python Code)

Max Activating Token Index: 861

Text #3

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Max Act: 0.0358. Min Act: -0.0004

Data Index: 1476803 (Python Code)

Max Activating Token Index: 778

Text #4

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Max Act: 0.0314. Min Act: -0.0004

Data Index: 34057 (C4 (Web Text))

Max Activating Token Index: 10

Text #5

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Max Act: 0.0328. Min Act: -0.0004

Data Index: 1520648 (Python Code)

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Text #6

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Data Index: 1411686 (Python Code)

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Text #7

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Data Index: 1655744 (Python Code)

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Text #8

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Data Index: 784054 (C4 (Web Text))

Max Activating Token Index: 452

Text #9

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Data Index: 1535151 (Python Code)

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Text #10

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Data Index: 1454879 (Python Code)

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Text #11

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Data Index: 1518052 (Python Code)

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Text #12

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Data Index: 1599730 (Python Code)

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Text #13

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Data Index: 1496629 (Python Code)

Max Activating Token Index: 896

Text #14

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Data Index: 1373142 (Python Code)

Max Activating Token Index: 316

Text #15

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Data Index: 1452670 (Python Code)

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Text #16

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Data Index: 1614109 (Python Code)

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Text #17

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Data Index: 1401541 (Python Code)

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Text #18

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Data Index: 1406609 (Python Code)

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Text #19

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Max Act: 0.0271. Min Act: -0.0004

Data Index: 1437799 (Python Code)

Max Activating Token Index: 350