Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1796 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0297. Min Act: -0.0006

Data Index: 1388482 (Python Code)

Max Activating Token Index: 508

Text #1

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Max Act: 0.0279. Min Act: -0.0005

Data Index: 1416596 (Python Code)

Max Activating Token Index: 9

Text #2

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Max Act: 0.0268. Min Act: -0.0005

Data Index: 1592000 (Python Code)

Max Activating Token Index: 571

Text #3

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Max Act: 0.0262. Min Act: -0.0006

Data Index: 1463813 (Python Code)

Max Activating Token Index: 537

Text #4

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Max Act: 0.0260. Min Act: -0.0006

Data Index: 1532250 (Python Code)

Max Activating Token Index: 79

Text #5

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Data Index: 1489556 (Python Code)

Max Activating Token Index: 5

Text #6

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Data Index: 1405247 (Python Code)

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Text #7

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Data Index: 1585347 (Python Code)

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Text #8

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Data Index: 1530275 (Python Code)

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Text #9

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Data Index: 1587288 (Python Code)

Max Activating Token Index: 257

Text #10

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Data Index: 1580615 (Python Code)

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Text #11

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Data Index: 1625158 (Python Code)

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Text #12

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Data Index: 1433380 (Python Code)

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Text #13

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Data Index: 1369717 (Python Code)

Max Activating Token Index: 343

Text #14

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Data Index: 1416293 (Python Code)

Max Activating Token Index: 640

Text #15

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Data Index: 1414541 (Python Code)

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Text #16

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Data Index: 1483146 (Python Code)

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Text #17

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Data Index: 1530283 (Python Code)

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Text #18

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Data Index: 1463347 (Python Code)

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Text #19

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Data Index: 1441971 (Python Code)

Max Activating Token Index: 47