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

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

Neuron 60 in Layer 1

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

Text #0

Max Range: 0.0301. Min Range: -0.0301

Max Act: 0.0301. Min Act: -0.0006

Data Index: 1653029 (Python Code)

Max Activating Token Index: 161

Text #1

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Max Act: 0.0278. Min Act: -0.0006

Data Index: 1650040 (Python Code)

Max Activating Token Index: 888

Text #2

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 1362180 (Python Code)

Max Activating Token Index: 366

Text #3

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Max Act: 0.0273. Min Act: -0.0006

Data Index: 1562263 (Python Code)

Max Activating Token Index: 13

Text #4

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Max Act: 0.0283. Min Act: -0.0006

Data Index: 1426911 (Python Code)

Max Activating Token Index: 299

Text #5

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Max Act: 0.0281. Min Act: -0.0006

Data Index: 1554210 (Python Code)

Max Activating Token Index: 825

Text #6

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Max Act: 0.0272. Min Act: -0.0006

Data Index: 1408313 (Python Code)

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Text #7

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Data Index: 1650731 (Python Code)

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Text #8

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Data Index: 1546951 (Python Code)

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Text #9

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Data Index: 1437619 (Python Code)

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Text #10

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Data Index: 1391937 (Python Code)

Max Activating Token Index: 680

Text #11

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Data Index: 1604065 (Python Code)

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Text #12

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Data Index: 1461273 (Python Code)

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Text #13

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Data Index: 1618202 (Python Code)

Max Activating Token Index: 787

Text #14

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Data Index: 1533744 (Python Code)

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Text #15

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Data Index: 1481070 (Python Code)

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Text #16

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Data Index: 1619546 (Python Code)

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Text #17

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Data Index: 1560149 (Python Code)

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Text #18

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Data Index: 1403433 (Python Code)

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Text #19

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Max Act: 0.0252. Min Act: -0.0006

Data Index: 1656730 (Python Code)

Max Activating Token Index: 819