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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3309 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0332. Min Act: -0.0003

Data Index: 1517421 (Python Code)

Max Activating Token Index: 913

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Text #1

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Data Index: 1564013 (Python Code)

Max Activating Token Index: 834

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Text #2

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Max Act: 0.0313. Min Act: -0.0003

Data Index: 1581538 (Python Code)

Max Activating Token Index: 90

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Text #3

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Max Act: 0.0301. Min Act: -0.0003

Data Index: 265354 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #4

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Max Act: 0.0286. Min Act: -0.0003

Data Index: 1385747 (Python Code)

Max Activating Token Index: 20

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Text #5

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 426105 (C4 (Web Text))

Max Activating Token Index: 943

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Text #6

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Data Index: 1377963 (Python Code)

Max Activating Token Index: 959

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Text #7

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Data Index: 1389010 (Python Code)

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Text #8

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Data Index: 1544807 (Python Code)

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Text #9

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Data Index: 1439853 (Python Code)

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Text #10

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Data Index: 1445913 (Python Code)

Max Activating Token Index: 151

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Text #11

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Data Index: 1593784 (Python Code)

Max Activating Token Index: 997

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Text #12

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Data Index: 1521345 (Python Code)

Max Activating Token Index: 580

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Text #13

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Data Index: 1563085 (Python Code)

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Text #14

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Data Index: 564315 (C4 (Web Text))

Max Activating Token Index: 474

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Text #15

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Data Index: 1550379 (Python Code)

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Text #16

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Data Index: 1372610 (Python Code)

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Text #17

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Data Index: 498079 (C4 (Web Text))

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Text #18

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Data Index: 458853 (C4 (Web Text))

Max Activating Token Index: 951

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Text #19

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1375417 (Python Code)

Max Activating Token Index: 217

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