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

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

Neuron 3627 in Layer 1

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

Text #0

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Max Act: 0.0938. Min Act: -0.0003

Data Index: 1568793 (Python Code)

Max Activating Token Index: 953

Text #1

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Max Act: 0.0903. Min Act: -0.0004

Data Index: 1599673 (Python Code)

Max Activating Token Index: 291

Text #2

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Max Act: 0.0863. Min Act: -0.0003

Data Index: 1429933 (Python Code)

Max Activating Token Index: 407

Text #3

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Max Act: 0.0733. Min Act: -0.0003

Data Index: 1565440 (Python Code)

Max Activating Token Index: 299

Text #4

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Max Act: 0.0820. Min Act: -0.0003

Data Index: 1518408 (Python Code)

Max Activating Token Index: 331

Text #5

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Max Act: 0.0763. Min Act: -0.0003

Data Index: 1459547 (Python Code)

Max Activating Token Index: 494

Text #6

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Data Index: 1485209 (Python Code)

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Text #7

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Data Index: 1397205 (Python Code)

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Text #8

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Data Index: 1362098 (Python Code)

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Text #9

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Data Index: 1515365 (Python Code)

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Text #10

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Data Index: 1462231 (Python Code)

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Text #11

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Data Index: 1497294 (Python Code)

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Text #12

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Data Index: 1510189 (Python Code)

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Text #13

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Data Index: 1401588 (Python Code)

Max Activating Token Index: 860

Text #14

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Data Index: 1573151 (Python Code)

Max Activating Token Index: 281

Text #15

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Data Index: 1604188 (Python Code)

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Text #16

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Data Index: 1560902 (Python Code)

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Text #17

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Data Index: 1548613 (Python Code)

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Text #18

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Data Index: 1543370 (Python Code)

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Text #19

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Max Act: 0.0750. Min Act: -0.0003

Data Index: 1368787 (Python Code)

Max Activating Token Index: 946