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

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

Neuron 1504 in Layer 1

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

Text #0

Max Range: 0.0217. Min Range: -0.0217

Max Act: 0.0217. Min Act: -0.0006

Data Index: 527522 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0176. Min Act: -0.0006

Data Index: 1428317 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0178. Min Act: -0.0006

Data Index: 1447388 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0156. Min Act: -0.0006

Data Index: 229930 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0154. Min Act: -0.0006

Data Index: 1593195 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0159. Min Act: -0.0006

Data Index: 1364418 (Python Code)

Max Activating Token Index: 156

Text #6

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Max Act: 0.0157. Min Act: -0.0006

Data Index: 1449905 (Python Code)

Max Activating Token Index: 594

Text #7

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Data Index: 1372218 (Python Code)

Max Activating Token Index: 1023

Text #8

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Max Act: 0.0151. Min Act: -0.0006

Data Index: 1104097 (C4 (Web Text))

Max Activating Token Index: 364

Text #9

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Max Act: 0.0146. Min Act: -0.0006

Data Index: 704245 (C4 (Web Text))

Max Activating Token Index: 922

Text #10

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Data Index: 1647423 (Python Code)

Max Activating Token Index: 1023

Text #11

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Data Index: 1446813 (Python Code)

Max Activating Token Index: 1023

Text #12

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Max Act: 0.0143. Min Act: -0.0006

Data Index: 1391714 (Python Code)

Max Activating Token Index: 1023

Text #13

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Max Act: 0.0144. Min Act: -0.0005

Data Index: 1433415 (Python Code)

Max Activating Token Index: 1023

Text #14

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Max Act: 0.0143. Min Act: -0.0006

Data Index: 1572180 (Python Code)

Max Activating Token Index: 415

Text #15

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Data Index: 1606904 (Python Code)

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Text #16

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Data Index: 782393 (C4 (Web Text))

Max Activating Token Index: 1023

Text #17

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Max Act: 0.0138. Min Act: -0.0006

Data Index: 1483230 (Python Code)

Max Activating Token Index: 475

Text #18

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Max Act: 0.0143. Min Act: -0.0006

Data Index: 1542493 (Python Code)

Max Activating Token Index: 631

Text #19

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1441146 (Python Code)

Max Activating Token Index: 1023