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

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

Neuron 1560 in Layer 1

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

Text #0

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Max Act: 0.0528. Min Act: -0.0003

Data Index: 1455976 (Python Code)

Max Activating Token Index: 5

Text #1

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 1460912 (Python Code)

Max Activating Token Index: 10

Text #2

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Max Act: 0.0465. Min Act: -0.0003

Data Index: 503678 (C4 (Web Text))

Max Activating Token Index: 652

Text #3

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Max Act: 0.0440. Min Act: -0.0003

Data Index: 864316 (C4 (Web Text))

Max Activating Token Index: 549

Text #4

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Max Act: 0.0434. Min Act: -0.0002

Data Index: 1465743 (Python Code)

Max Activating Token Index: 5

Text #5

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Max Act: 0.0427. Min Act: -0.0003

Data Index: 1562443 (Python Code)

Max Activating Token Index: 7

Text #6

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Data Index: 1600371 (Python Code)

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Text #7

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Data Index: 1469296 (Python Code)

Max Activating Token Index: 1000

Text #8

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Data Index: 1519123 (Python Code)

Max Activating Token Index: 7

Text #9

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 1527061 (Python Code)

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Text #10

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Max Act: 0.0415. Min Act: -0.0003

Data Index: 523158 (C4 (Web Text))

Max Activating Token Index: 341

Text #11

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Data Index: 1619112 (Python Code)

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Text #12

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Data Index: 1382364 (Python Code)

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Text #13

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Data Index: 1388633 (Python Code)

Max Activating Token Index: 270

Text #14

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Data Index: 157922 (C4 (Web Text))

Max Activating Token Index: 651

Text #15

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Data Index: 1498031 (Python Code)

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Text #16

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Data Index: 194061 (C4 (Web Text))

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Text #17

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Data Index: 1626452 (Python Code)

Max Activating Token Index: 330

Text #18

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Data Index: 1428768 (Python Code)

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Text #19

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 87357 (C4 (Web Text))

Max Activating Token Index: 748