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

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

Neuron 3656 in Layer 1

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

Text #0

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 1452772 (Python Code)

Max Activating Token Index: 290

Text #1

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 1396218 (Python Code)

Max Activating Token Index: 104

Text #2

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Max Act: 0.0251. Min Act: -0.0003

Data Index: 711175 (C4 (Web Text))

Max Activating Token Index: 464

Text #3

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Max Act: 0.0257. Min Act: -0.0003

Data Index: 1630474 (Python Code)

Max Activating Token Index: 22

Text #4

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 847886 (C4 (Web Text))

Max Activating Token Index: 12

Text #5

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Max Act: 0.0236. Min Act: -0.0003

Data Index: 1455683 (Python Code)

Max Activating Token Index: 247

Text #6

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Data Index: 1390754 (Python Code)

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Text #7

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Data Index: 1503450 (Python Code)

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Text #8

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Data Index: 161046 (C4 (Web Text))

Max Activating Token Index: 667

Text #9

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Data Index: 1573881 (Python Code)

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Text #10

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Data Index: 1616831 (Python Code)

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Text #11

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Data Index: 1471272 (Python Code)

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Text #12

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Data Index: 1397148 (Python Code)

Max Activating Token Index: 202

Text #13

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Data Index: 1411531 (Python Code)

Max Activating Token Index: 566

Text #14

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Data Index: 1544041 (Python Code)

Max Activating Token Index: 156

Text #15

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Data Index: 1617440 (Python Code)

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Text #16

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Data Index: 1383840 (Python Code)

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Text #17

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Data Index: 1524278 (Python Code)

Max Activating Token Index: 360

Text #18

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Data Index: 1384398 (Python Code)

Max Activating Token Index: 31

Text #19

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Max Act: 0.0222. Min Act: -0.0003

Data Index: 1515087 (Python Code)

Max Activating Token Index: 35