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

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

Neuron 3444 in Layer 6

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

Text #0

Max Range: 2.1651. Min Range: -2.1651

Max Act: 2.1651. Min Act: -0.0000

Data Index: 1571560 (Python Code)

Max Activating Token Index: 237

Text #1

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Max Act: 1.9444. Min Act: -0.0000

Data Index: 1547807 (Python Code)

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Text #2

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Max Act: 2.0266. Min Act: -0.0000

Data Index: 1452198 (Python Code)

Max Activating Token Index: 812

Text #3

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Max Act: 1.9578. Min Act: -0.0000

Data Index: 1410787 (Python Code)

Max Activating Token Index: 801

Text #4

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Max Act: 1.8293. Min Act: -0.0000

Data Index: 1494633 (Python Code)

Max Activating Token Index: 896

Text #5

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Max Act: 1.9273. Min Act: -0.0000

Data Index: 1595779 (Python Code)

Max Activating Token Index: 351

Text #6

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Data Index: 1469553 (Python Code)

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Text #7

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Data Index: 1509938 (Python Code)

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Text #8

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Data Index: 1625110 (Python Code)

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Text #9

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Data Index: 1403414 (Python Code)

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Text #10

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Data Index: 1620221 (Python Code)

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Text #11

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Data Index: 1439070 (Python Code)

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Text #12

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Data Index: 1397745 (Python Code)

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Text #13

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Data Index: 1409499 (Python Code)

Max Activating Token Index: 299

Text #14

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Data Index: 1506548 (Python Code)

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Text #15

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Data Index: 1519731 (Python Code)

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Text #16

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Data Index: 1612243 (Python Code)

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Text #17

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Data Index: 1655096 (Python Code)

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Text #18

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Data Index: 1624465 (Python Code)

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Text #19

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Max Act: 1.7122. Min Act: -0.0000

Data Index: 1437865 (Python Code)

Max Activating Token Index: 864