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

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

Neuron 1780 in Layer 0

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

Text #0

Max Range: 0.0258. Min Range: -0.0258

Max Act: 0.0253. Min Act: -0.0002

Data Index: 1459740 (Python Code)

Max Activating Token Index: 537

Text #1

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Max Act: 0.0253. Min Act: -0.0002

Data Index: 1502130 (Python Code)

Max Activating Token Index: 494

Text #2

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Max Act: 0.0252. Min Act: -0.0002

Data Index: 1413006 (Python Code)

Max Activating Token Index: 546

Text #3

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Max Act: 0.0249. Min Act: -0.0002

Data Index: 1409614 (Python Code)

Max Activating Token Index: 78

Text #4

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 1591287 (Python Code)

Max Activating Token Index: 587

Text #5

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Max Act: 0.0248. Min Act: -0.0002

Data Index: 1457238 (Python Code)

Max Activating Token Index: 546

Text #6

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Data Index: 1538514 (Python Code)

Max Activating Token Index: 90

Text #7

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Data Index: 1374673 (Python Code)

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Text #8

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Data Index: 1549447 (Python Code)

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Text #9

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Data Index: 1510122 (Python Code)

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Text #10

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Data Index: 1426460 (Python Code)

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Text #11

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Data Index: 1459549 (Python Code)

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Text #12

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Data Index: 1440386 (Python Code)

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Text #13

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Data Index: 1410303 (Python Code)

Max Activating Token Index: 835

Text #14

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Data Index: 1425023 (Python Code)

Max Activating Token Index: 107

Text #15

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Data Index: 1446525 (Python Code)

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Text #16

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Data Index: 1579577 (Python Code)

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Text #17

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Data Index: 1627105 (Python Code)

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Text #18

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Data Index: 1546346 (Python Code)

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Text #19

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Max Act: 0.0223. Min Act: -0.0002

Data Index: 1474981 (Python Code)

Max Activating Token Index: 371