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

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

Neuron 4076 in Layer 2

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

Text #0

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Max Act: 0.0416. Min Act: -0.0002

Data Index: 1534114 (Python Code)

Max Activating Token Index: 810

Text #1

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Max Act: 0.0385. Min Act: -0.0002

Data Index: 1400381 (Python Code)

Max Activating Token Index: 579

Text #2

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Max Act: 0.0396. Min Act: -0.0002

Data Index: 1402525 (Python Code)

Max Activating Token Index: 544

Text #3

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Max Act: 0.0354. Min Act: -0.0002

Data Index: 1532745 (Python Code)

Max Activating Token Index: 695

Text #4

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Max Act: 0.0393. Min Act: -0.0002

Data Index: 1419229 (Python Code)

Max Activating Token Index: 240

Text #5

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Data Index: 1495651 (Python Code)

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Text #6

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Data Index: 1631326 (Python Code)

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Text #7

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Data Index: 1391797 (Python Code)

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Text #8

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Data Index: 1414664 (Python Code)

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Text #9

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Data Index: 1401261 (Python Code)

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Text #10

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Data Index: 1551202 (Python Code)

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Text #11

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Data Index: 1614310 (Python Code)

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Text #12

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Data Index: 1585452 (Python Code)

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Text #13

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Data Index: 1415434 (Python Code)

Max Activating Token Index: 686

Text #14

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Data Index: 1365556 (Python Code)

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Text #15

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Data Index: 1592735 (Python Code)

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Text #16

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Data Index: 1546441 (Python Code)

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Text #17

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Data Index: 1550139 (Python Code)

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Text #18

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Data Index: 1627884 (Python Code)

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Text #19

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Max Act: 0.0358. Min Act: -0.0002

Data Index: 1493115 (Python Code)

Max Activating Token Index: 571