Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 599 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0084. Min Act: -0.0004

Data Index: 1398828 (Python Code)

Max Activating Token Index: 404

Text #1

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Max Act: 0.0086. Min Act: -0.0004

Data Index: 1532237 (Python Code)

Max Activating Token Index: 164

Text #2

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Max Act: 0.0079. Min Act: -0.0004

Data Index: 1594316 (Python Code)

Max Activating Token Index: 192

Text #3

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Max Act: 0.0076. Min Act: -0.0004

Data Index: 1653557 (Python Code)

Max Activating Token Index: 29

Text #4

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Max Act: 0.0076. Min Act: -0.0004

Data Index: 1537668 (Python Code)

Max Activating Token Index: 346

Text #5

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Data Index: 1612005 (Python Code)

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Text #6

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Data Index: 1394290 (Python Code)

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Text #7

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Data Index: 1519200 (Python Code)

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Text #8

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Data Index: 1372345 (Python Code)

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Text #9

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Data Index: 1442502 (Python Code)

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Text #10

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Data Index: 1629983 (Python Code)

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Text #11

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Data Index: 1567811 (Python Code)

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Text #12

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Data Index: 1395738 (Python Code)

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Text #13

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Data Index: 1381956 (Python Code)

Max Activating Token Index: 253

Text #14

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Data Index: 1536827 (Python Code)

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Text #15

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Data Index: 1528918 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1365417 (Python Code)

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Text #19

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Data Index: 1443592 (Python Code)

Max Activating Token Index: 85