Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 652 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0136. Min Act: -0.0005

Data Index: 1613398 (Python Code)

Max Activating Token Index: 253

Text #1

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Max Act: 0.0135. Min Act: -0.0005

Data Index: 1584547 (Python Code)

Max Activating Token Index: 564

Text #2

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Max Act: 0.0128. Min Act: -0.0005

Data Index: 1509745 (Python Code)

Max Activating Token Index: 293

Text #3

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1488960 (Python Code)

Max Activating Token Index: 252

Text #4

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1633405 (Python Code)

Max Activating Token Index: 755

Text #5

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Max Act: 0.0120. Min Act: -0.0005

Data Index: 1391869 (Python Code)

Max Activating Token Index: 853

Text #6

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Data Index: 1617381 (Python Code)

Max Activating Token Index: 40

Text #7

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Data Index: 1429197 (Python Code)

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Text #8

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Data Index: 1609850 (Python Code)

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Text #9

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Data Index: 1626609 (Python Code)

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Text #10

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Data Index: 1487598 (Python Code)

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Text #11

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Data Index: 1518577 (Python Code)

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Text #12

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Data Index: 1539516 (Python Code)

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Text #13

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Data Index: 1363652 (Python Code)

Max Activating Token Index: 229

Text #14

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Data Index: 1563794 (Python Code)

Max Activating Token Index: 309

Text #15

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Data Index: 1630639 (Python Code)

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Text #16

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Data Index: 1431053 (Python Code)

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Text #17

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Data Index: 1401637 (Python Code)

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Text #18

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Data Index: 1576645 (Python Code)

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Text #19

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Data Index: 1550383 (Python Code)

Max Activating Token Index: 337