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

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

Neuron 1538 in Layer 0

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

Text #0

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Max Act: 0.0466. Min Act: -0.0002

Data Index: 1433820 (Python Code)

Max Activating Token Index: 512

Text #1

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Max Act: 0.0436. Min Act: -0.0002

Data Index: 1428064 (Python Code)

Max Activating Token Index: 496

Text #2

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Max Act: 0.0431. Min Act: -0.0002

Data Index: 1438852 (Python Code)

Max Activating Token Index: 12

Text #3

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Max Act: 0.0435. Min Act: -0.0002

Data Index: 1597309 (Python Code)

Max Activating Token Index: 922

Text #4

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Max Act: 0.0415. Min Act: -0.0002

Data Index: 1452704 (Python Code)

Max Activating Token Index: 710

Text #5

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Max Act: 0.0414. Min Act: -0.0002

Data Index: 1607761 (Python Code)

Max Activating Token Index: 222

Text #6

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Data Index: 1537955 (Python Code)

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Text #7

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Data Index: 1517735 (Python Code)

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Text #8

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Data Index: 1370481 (Python Code)

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Text #9

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Data Index: 1512289 (Python Code)

Max Activating Token Index: 326

Text #10

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Data Index: 1371492 (Python Code)

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Text #11

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Data Index: 1477518 (Python Code)

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Text #12

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Data Index: 1488623 (Python Code)

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Text #13

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Data Index: 1383460 (Python Code)

Max Activating Token Index: 52

Text #14

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Data Index: 1569540 (Python Code)

Max Activating Token Index: 814

Text #15

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Data Index: 1399314 (Python Code)

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Text #16

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Data Index: 1503273 (Python Code)

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Text #17

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Data Index: 1453558 (Python Code)

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Text #18

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Data Index: 1463753 (Python Code)

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Text #19

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Data Index: 1550097 (Python Code)

Max Activating Token Index: 504