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

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

Neuron 1 in Layer 2

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



Text #0

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Max Act: 0.0398. Min Act: -0.0002

Data Index: 1505511 (Python Code)

Max Activating Token Index: 366

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Text #1

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 1546565 (Python Code)

Max Activating Token Index: 955

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Text #2

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Max Act: 0.0409. Min Act: -0.0002

Data Index: 1493443 (Python Code)

Max Activating Token Index: 846

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Text #3

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Max Act: 0.0389. Min Act: -0.0002

Data Index: 1399385 (Python Code)

Max Activating Token Index: 323

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Text #4

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Data Index: 1650533 (Python Code)

Max Activating Token Index: 1006

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Text #5

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Data Index: 1575005 (Python Code)

Max Activating Token Index: 656

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Text #6

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Data Index: 1548207 (Python Code)

Max Activating Token Index: 19

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Text #7

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Data Index: 1398775 (Python Code)

Max Activating Token Index: 859

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Text #8

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Data Index: 1360591 (Python Code)

Max Activating Token Index: 779

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Text #9

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Data Index: 1379986 (Python Code)

Max Activating Token Index: 968

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Text #10

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Data Index: 1368916 (Python Code)

Max Activating Token Index: 301

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Text #11

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Data Index: 1519751 (Python Code)

Max Activating Token Index: 236

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Text #12

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Data Index: 1533622 (Python Code)

Max Activating Token Index: 454

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Text #13

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Data Index: 1506107 (Python Code)

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Text #14

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Data Index: 1405799 (Python Code)

Max Activating Token Index: 208

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Text #15

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Data Index: 1475900 (Python Code)

Max Activating Token Index: 239

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Text #16

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Data Index: 1435146 (Python Code)

Max Activating Token Index: 117

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Text #17

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Data Index: 1615167 (Python Code)

Max Activating Token Index: 58

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Text #18

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Data Index: 1488910 (Python Code)

Max Activating Token Index: 1014

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Text #19

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Data Index: 1551030 (Python Code)

Max Activating Token Index: 647

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