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

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

Neuron 4389 in Layer 1

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



Text #0

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1611225 (Python Code)

Max Activating Token Index: 210

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Text #1

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1415039 (Python Code)

Max Activating Token Index: 844

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Text #2

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1446747 (Python Code)

Max Activating Token Index: 121

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Text #3

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 1635173 (Python Code)

Max Activating Token Index: 799

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Text #4

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Data Index: 1491222 (Python Code)

Max Activating Token Index: 223

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Text #5

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Data Index: 1602058 (Python Code)

Max Activating Token Index: 358

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Text #6

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Data Index: 1444378 (Python Code)

Max Activating Token Index: 228

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Text #7

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Data Index: 1587426 (Python Code)

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Text #8

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Data Index: 1651273 (Python Code)

Max Activating Token Index: 535

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Text #9

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Data Index: 1589568 (Python Code)

Max Activating Token Index: 626

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Text #10

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Data Index: 1449632 (Python Code)

Max Activating Token Index: 993

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Text #11

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Data Index: 131487 (C4 (Web Text))

Max Activating Token Index: 41

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Text #12

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Data Index: 1425548 (Python Code)

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Text #13

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Data Index: 701766 (C4 (Web Text))

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Text #14

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Data Index: 1624109 (Python Code)

Max Activating Token Index: 386

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Text #15

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Data Index: 1423608 (Python Code)

Max Activating Token Index: 948

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Text #16

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Data Index: 1515010 (Python Code)

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Text #17

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Data Index: 1591604 (Python Code)

Max Activating Token Index: 850

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Text #18

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Data Index: 1593798 (Python Code)

Max Activating Token Index: 140

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Text #19

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Data Index: 1539222 (Python Code)

Max Activating Token Index: 740

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