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

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

Neuron 2136 in Layer 5

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

Text #0

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Max Act: 3.2840. Min Act: -0.0000

Data Index: 915869 (C4 (Web Text))

Max Activating Token Index: 976

Text #1

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Max Act: 3.1535. Min Act: -0.0000

Data Index: 1237496 (C4 (Web Text))

Max Activating Token Index: 212

Text #2

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Data Index: 176215 (C4 (Web Text))

Max Activating Token Index: 975

Text #3

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Max Act: 2.9739. Min Act: -0.0000

Data Index: 367306 (C4 (Web Text))

Max Activating Token Index: 526

Text #4

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Data Index: 230322 (C4 (Web Text))

Max Activating Token Index: 784

Text #5

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Data Index: 1368985 (Python Code)

Max Activating Token Index: 369

Text #6

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Data Index: 510933 (C4 (Web Text))

Max Activating Token Index: 585

Text #7

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Data Index: 354171 (C4 (Web Text))

Max Activating Token Index: 496

Text #8

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Data Index: 1450084 (Python Code)

Max Activating Token Index: 200

Text #9

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Data Index: 1389093 (Python Code)

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Text #10

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Data Index: 1630698 (Python Code)

Max Activating Token Index: 318

Text #11

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Data Index: 602455 (C4 (Web Text))

Max Activating Token Index: 304

Text #12

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Data Index: 1652068 (Python Code)

Max Activating Token Index: 391

Text #13

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Data Index: 1291621 (C4 (Web Text))

Max Activating Token Index: 558

Text #14

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Data Index: 1650630 (Python Code)

Max Activating Token Index: 147

Text #15

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Data Index: 625362 (C4 (Web Text))

Max Activating Token Index: 981

Text #16

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Data Index: 1388514 (Python Code)

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Text #17

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Data Index: 1425370 (Python Code)

Max Activating Token Index: 804

Text #18

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Data Index: 1547852 (Python Code)

Max Activating Token Index: 35

Text #19

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Data Index: 1597342 (Python Code)

Max Activating Token Index: 993