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

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

Neuron 1493 in Layer 1

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

Text #0

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Max Act: 0.0402. Min Act: -0.0006

Data Index: 1646358 (Python Code)

Max Activating Token Index: 633

Text #1

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Max Act: 0.0396. Min Act: -0.0006

Data Index: 1486212 (Python Code)

Max Activating Token Index: 542

Text #2

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Data Index: 1376288 (Python Code)

Max Activating Token Index: 287

Text #3

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Max Act: 0.0367. Min Act: -0.0006

Data Index: 1554237 (Python Code)

Max Activating Token Index: 677

Text #4

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Data Index: 1502449 (Python Code)

Max Activating Token Index: 289

Text #5

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Data Index: 1556621 (Python Code)

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Text #6

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Data Index: 1507304 (Python Code)

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Text #7

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Data Index: 1400482 (Python Code)

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Text #8

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Text #9

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Data Index: 1643640 (Python Code)

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Text #10

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Data Index: 1617937 (Python Code)

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Data Index: 1361444 (Python Code)

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Text #12

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Data Index: 1420801 (Python Code)

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Text #13

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Data Index: 1472659 (Python Code)

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Text #14

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Data Index: 1383407 (Python Code)

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Text #15

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Data Index: 1469394 (Python Code)

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Text #16

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Data Index: 1373893 (Python Code)

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Text #17

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Data Index: 1448806 (Python Code)

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Text #18

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Data Index: 1491259 (Python Code)

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Text #19

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Data Index: 1638058 (Python Code)

Max Activating Token Index: 302