Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 548 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0401. Min Act: -0.0003

Data Index: 1649170 (Python Code)

Max Activating Token Index: 12

Text #1

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Max Act: 0.0381. Min Act: -0.0003

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Max Activating Token Index: 217

Text #2

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Max Activating Token Index: 458

Text #3

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 1302370 (C4 (Web Text))

Max Activating Token Index: 298

Text #4

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Max Activating Token Index: 439

Text #5

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Data Index: 22408 (C4 (Web Text))

Max Activating Token Index: 820

Text #6

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Max Activating Token Index: 454

Text #8

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Text #9

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Max Activating Token Index: 289

Text #10

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Max Activating Token Index: 388

Text #11

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Text #12

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Max Activating Token Index: 860

Text #13

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Max Activating Token Index: 181

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 713174 (C4 (Web Text))

Max Activating Token Index: 653