Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1442 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0330. Min Range: -0.0330

Max Act: 0.0328. Min Act: -0.0003

Data Index: 1592298 (Python Code)

Max Activating Token Index: 10

Text #1

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Max Act: 0.0330. Min Act: -0.0003

Data Index: 1501647 (Python Code)

Max Activating Token Index: 117

Text #2

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Max Act: 0.0327. Min Act: -0.0003

Data Index: 1396123 (Python Code)

Max Activating Token Index: 181

Text #3

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Max Act: 0.0312. Min Act: -0.0003

Data Index: 1648297 (Python Code)

Max Activating Token Index: 277

Text #4

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Max Act: 0.0317. Min Act: -0.0002

Data Index: 1397569 (Python Code)

Max Activating Token Index: 43

Text #5

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Max Act: 0.0316. Min Act: -0.0003

Data Index: 1409426 (Python Code)

Max Activating Token Index: 86

Text #6

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Data Index: 1556212 (Python Code)

Max Activating Token Index: 414

Text #7

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Data Index: 1478642 (Python Code)

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Text #8

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Data Index: 1440358 (Python Code)

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Text #9

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Data Index: 1584551 (Python Code)

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Text #10

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Data Index: 1374178 (Python Code)

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Text #11

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Data Index: 1489548 (Python Code)

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Text #12

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Data Index: 1634234 (Python Code)

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Text #13

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Data Index: 1509874 (Python Code)

Max Activating Token Index: 124

Text #14

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Data Index: 1616334 (Python Code)

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Text #15

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Data Index: 1645077 (Python Code)

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Text #16

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Data Index: 1410306 (Python Code)

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Text #17

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Data Index: 1440266 (Python Code)

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Text #18

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Data Index: 1433201 (Python Code)

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Text #19

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Data Index: 1375407 (Python Code)

Max Activating Token Index: 190