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

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

Neuron 1901 in Layer 1

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

Text #0

Max Range: 0.0183. Min Range: -0.0183

Max Act: 0.0183. Min Act: -0.0006

Data Index: 1540355 (Python Code)

Max Activating Token Index: 12

Text #1

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Max Act: 0.0172. Min Act: -0.0006

Data Index: 1447259 (Python Code)

Max Activating Token Index: 11

Text #2

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Max Act: 0.0157. Min Act: -0.0006

Data Index: 34949 (C4 (Web Text))

Max Activating Token Index: 315

Text #3

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Max Act: 0.0153. Min Act: -0.0006

Data Index: 1436931 (Python Code)

Max Activating Token Index: 55

Text #4

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Max Act: 0.0142. Min Act: -0.0006

Data Index: 1459233 (Python Code)

Max Activating Token Index: 472

Text #5

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Max Act: 0.0144. Min Act: -0.0006

Data Index: 725059 (C4 (Web Text))

Max Activating Token Index: 493

Text #6

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Data Index: 1405231 (Python Code)

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Text #7

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Data Index: 1204451 (C4 (Web Text))

Max Activating Token Index: 535

Text #8

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Data Index: 758046 (C4 (Web Text))

Max Activating Token Index: 529

Text #9

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Data Index: 871763 (C4 (Web Text))

Max Activating Token Index: 309

Text #10

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Max Activating Token Index: 554

Text #11

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Data Index: 1371398 (Python Code)

Max Activating Token Index: 55

Text #12

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Data Index: 867361 (C4 (Web Text))

Max Activating Token Index: 771

Text #13

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Data Index: 1312127 (C4 (Web Text))

Max Activating Token Index: 143

Text #14

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Max Activating Token Index: 19

Text #15

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Max Activating Token Index: 82

Text #16

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Data Index: 1644657 (Python Code)

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Text #17

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Data Index: 1472123 (Python Code)

Max Activating Token Index: 47

Text #18

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Data Index: 1460479 (Python Code)

Max Activating Token Index: 314

Text #19

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 1653295 (Python Code)

Max Activating Token Index: 77