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

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

Neuron 1604 in Layer 1

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

Text #0

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Max Act: 0.0198. Min Act: -0.0006

Data Index: 1413254 (Python Code)

Max Activating Token Index: 964

Text #1

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Max Act: 0.0194. Min Act: -0.0006

Data Index: 1632812 (Python Code)

Max Activating Token Index: 924

Text #2

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Max Act: 0.0203. Min Act: -0.0006

Data Index: 1603565 (Python Code)

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Text #3

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Max Act: 0.0197. Min Act: -0.0006

Data Index: 1511229 (Python Code)

Max Activating Token Index: 879

Text #4

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Max Act: 0.0182. Min Act: -0.0006

Data Index: 1457997 (Python Code)

Max Activating Token Index: 973

Text #5

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Max Act: 0.0199. Min Act: -0.0006

Data Index: 1544476 (Python Code)

Max Activating Token Index: 1011

Text #6

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Data Index: 1606743 (Python Code)

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Text #7

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Data Index: 1426052 (Python Code)

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Text #8

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Data Index: 1623690 (Python Code)

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Data Index: 1584706 (Python Code)

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Text #10

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Data Index: 1487309 (Python Code)

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Text #11

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Data Index: 1378495 (Python Code)

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Text #12

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Data Index: 1443776 (Python Code)

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Text #13

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Data Index: 1563730 (Python Code)

Max Activating Token Index: 794

Text #14

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Data Index: 1563749 (Python Code)

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Text #15

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Data Index: 1384049 (Python Code)

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Text #16

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Data Index: 1481630 (Python Code)

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Text #17

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Data Index: 1432678 (Python Code)

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Text #18

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Data Index: 1424661 (Python Code)

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Text #19

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Data Index: 1443204 (Python Code)

Max Activating Token Index: 879