Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 112 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.1768. Min Act: -0.0002

Data Index: 1460982 (Python Code)

Max Activating Token Index: 798

Text #1

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Max Act: 0.1650. Min Act: -0.0002

Data Index: 1428203 (Python Code)

Max Activating Token Index: 148

Text #2

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Max Act: 0.1612. Min Act: -0.0002

Data Index: 1583803 (Python Code)

Max Activating Token Index: 713

Text #3

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Max Act: 0.1625. Min Act: -0.0002

Data Index: 1511686 (Python Code)

Max Activating Token Index: 345

Text #4

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Max Act: 0.1584. Min Act: -0.0002

Data Index: 1370535 (Python Code)

Max Activating Token Index: 405

Text #5

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Max Act: 0.1550. Min Act: -0.0002

Data Index: 1473654 (Python Code)

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Text #6

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Data Index: 1497012 (Python Code)

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Text #7

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Data Index: 1360145 (Python Code)

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Text #8

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Data Index: 1628388 (Python Code)

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Text #9

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Data Index: 1467101 (Python Code)

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Text #10

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Data Index: 1624373 (Python Code)

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Text #11

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Data Index: 1600119 (Python Code)

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Text #12

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Data Index: 1501125 (Python Code)

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Text #13

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Data Index: 1407393 (Python Code)

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Text #14

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Data Index: 1492152 (Python Code)

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Text #15

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Data Index: 1385550 (Python Code)

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Text #16

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Data Index: 1447804 (Python Code)

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Text #17

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Data Index: 1591057 (Python Code)

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Text #18

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Data Index: 1558048 (Python Code)

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Text #19

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Max Act: 0.1360. Min Act: -0.0002

Data Index: 1635402 (Python Code)

Max Activating Token Index: 925