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

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

Neuron 1121 in Layer 1

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

Text #0

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Max Act: 0.1396. Min Act: -0.0003

Data Index: 1460188 (Python Code)

Max Activating Token Index: 569

Text #1

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Max Act: 0.1382. Min Act: -0.0003

Data Index: 1495939 (Python Code)

Max Activating Token Index: 202

Text #2

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Max Act: 0.1338. Min Act: -0.0003

Data Index: 1360150 (Python Code)

Max Activating Token Index: 345

Text #3

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Max Act: 0.1286. Min Act: -0.0003

Data Index: 1572512 (Python Code)

Max Activating Token Index: 887

Text #4

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Max Act: 0.1322. Min Act: -0.0003

Data Index: 1399454 (Python Code)

Max Activating Token Index: 186

Text #5

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Max Act: 0.1282. Min Act: -0.0002

Data Index: 1411778 (Python Code)

Max Activating Token Index: 373

Text #6

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Data Index: 1498738 (Python Code)

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Text #7

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Data Index: 1483507 (Python Code)

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Text #8

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Data Index: 1628060 (Python Code)

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Text #9

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Data Index: 1387988 (Python Code)

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Text #10

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Data Index: 1388091 (Python Code)

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Text #11

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Data Index: 1388677 (Python Code)

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Text #12

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Data Index: 1619033 (Python Code)

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Text #13

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Data Index: 1576786 (Python Code)

Max Activating Token Index: 792

Text #14

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Data Index: 1597823 (Python Code)

Max Activating Token Index: 282

Text #15

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Data Index: 1583940 (Python Code)

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Text #16

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Data Index: 1609541 (Python Code)

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Text #17

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Data Index: 1600372 (Python Code)

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Text #18

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Data Index: 1639310 (Python Code)

Max Activating Token Index: 451

Text #19

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Max Act: 0.1192. Min Act: -0.0003

Data Index: 1529504 (Python Code)

Max Activating Token Index: 305