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

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

Neuron 1782 in Layer 0

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

Text #0

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Max Act: 0.0392. Min Act: -0.0004

Data Index: 1462277 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0359. Min Act: -0.0005

Data Index: 1506354 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0348. Min Act: -0.0005

Data Index: 1442584 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0333. Min Act: -0.0005

Data Index: 1396219 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0334. Min Act: -0.0004

Data Index: 1385706 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0339. Min Act: -0.0004

Data Index: 1489466 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1389867 (Python Code)

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Text #7

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Data Index: 1363741 (Python Code)

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Text #8

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Data Index: 1640545 (Python Code)

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Data Index: 1527611 (Python Code)

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Text #10

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Data Index: 1369453 (Python Code)

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Text #11

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Data Index: 1581518 (Python Code)

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Text #12

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Data Index: 1645275 (Python Code)

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Text #13

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Data Index: 1591467 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1509779 (Python Code)

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Text #15

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Data Index: 1581470 (Python Code)

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Text #16

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Data Index: 1457173 (Python Code)

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Text #17

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Data Index: 1418599 (Python Code)

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Text #18

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Data Index: 1365245 (Python Code)

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Text #19

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Data Index: 1545869 (Python Code)

Max Activating Token Index: 1023