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

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

Neuron 1497 in Layer 0

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

Text #0

Max Range: 0.0465. Min Range: -0.0465

Max Act: 0.0465. Min Act: -0.0005

Data Index: 1609477 (Python Code)

Max Activating Token Index: 222

Text #1

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Max Act: 0.0463. Min Act: -0.0005

Data Index: 1435369 (Python Code)

Max Activating Token Index: 716

Text #2

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Max Act: 0.0436. Min Act: -0.0005

Data Index: 1618185 (Python Code)

Max Activating Token Index: 693

Text #3

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Max Act: 0.0428. Min Act: -0.0005

Data Index: 1563674 (Python Code)

Max Activating Token Index: 24

Text #4

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Max Act: 0.0438. Min Act: -0.0005

Data Index: 1423448 (Python Code)

Max Activating Token Index: 39

Text #5

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Max Act: 0.0410. Min Act: -0.0005

Data Index: 1412922 (Python Code)

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Text #6

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Data Index: 1563468 (Python Code)

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Text #7

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Data Index: 1614307 (Python Code)

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Text #8

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Data Index: 1648575 (Python Code)

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Text #9

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Data Index: 1579967 (Python Code)

Max Activating Token Index: 192

Text #10

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Data Index: 1447546 (Python Code)

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Text #11

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Data Index: 1463989 (Python Code)

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Text #12

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Data Index: 1646929 (Python Code)

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Text #13

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Data Index: 1370164 (Python Code)

Max Activating Token Index: 118

Text #14

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Data Index: 1422592 (Python Code)

Max Activating Token Index: 31

Text #15

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Data Index: 1395067 (Python Code)

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Text #16

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Data Index: 1512245 (Python Code)

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Text #17

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Data Index: 1628160 (Python Code)

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Text #18

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Data Index: 1525450 (Python Code)

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Text #19

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Max Act: 0.0374. Min Act: -0.0005

Data Index: 1493189 (Python Code)

Max Activating Token Index: 222