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

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

Neuron 3582 in Layer 2

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

Text #0

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Max Act: 0.0890. Min Act: -0.0002

Data Index: 1610034 (Python Code)

Max Activating Token Index: 173

Text #1

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Max Act: 0.0786. Min Act: -0.0002

Data Index: 1562271 (Python Code)

Max Activating Token Index: 181

Text #2

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Max Act: 0.0747. Min Act: -0.0002

Data Index: 1439453 (Python Code)

Max Activating Token Index: 408

Text #3

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Max Act: 0.0736. Min Act: -0.0002

Data Index: 1541450 (Python Code)

Max Activating Token Index: 658

Text #4

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Max Act: 0.0707. Min Act: -0.0002

Data Index: 1605170 (Python Code)

Max Activating Token Index: 351

Text #5

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Data Index: 1538031 (Python Code)

Max Activating Token Index: 327

Text #6

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Data Index: 1360876 (Python Code)

Max Activating Token Index: 609

Text #7

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Data Index: 1422720 (Python Code)

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Text #8

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Data Index: 1373433 (Python Code)

Max Activating Token Index: 204

Text #9

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Data Index: 1564539 (Python Code)

Max Activating Token Index: 442

Text #10

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Data Index: 1418304 (Python Code)

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Text #11

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Data Index: 1387063 (Python Code)

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Text #12

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Data Index: 1656856 (Python Code)

Max Activating Token Index: 198

Text #13

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Data Index: 1567075 (Python Code)

Max Activating Token Index: 55

Text #14

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Data Index: 1545485 (Python Code)

Max Activating Token Index: 90

Text #15

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Data Index: 1379316 (Python Code)

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Text #16

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Data Index: 1440476 (Python Code)

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Text #17

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Data Index: 1444358 (Python Code)

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Text #18

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Data Index: 1438405 (Python Code)

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Text #19

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Data Index: 1548580 (Python Code)

Max Activating Token Index: 585