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

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

Neuron 1200 in Layer 0

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

Text #0

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Max Act: 0.0164. Min Act: -0.0004

Data Index: 1526771 (Python Code)

Max Activating Token Index: 252

Text #1

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Max Act: 0.0161. Min Act: -0.0004

Data Index: 1629818 (Python Code)

Max Activating Token Index: 414

Text #2

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Max Act: 0.0154. Min Act: -0.0004

Data Index: 86645 (C4 (Web Text))

Max Activating Token Index: 913

Text #3

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Max Act: 0.0155. Min Act: -0.0004

Data Index: 1618072 (Python Code)

Max Activating Token Index: 914

Text #4

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Max Act: 0.0150. Min Act: -0.0004

Data Index: 1577484 (Python Code)

Max Activating Token Index: 735

Text #5

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Max Act: 0.0148. Min Act: -0.0004

Data Index: 1562155 (Python Code)

Max Activating Token Index: 661

Text #6

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Data Index: 1519575 (Python Code)

Max Activating Token Index: 98

Text #7

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Data Index: 1579462 (Python Code)

Max Activating Token Index: 239

Text #8

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Data Index: 1522854 (Python Code)

Max Activating Token Index: 278

Text #9

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 1617951 (Python Code)

Max Activating Token Index: 290

Text #10

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Data Index: 1578041 (Python Code)

Max Activating Token Index: 221

Text #11

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Data Index: 629909 (C4 (Web Text))

Max Activating Token Index: 654

Text #12

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Data Index: 1599847 (Python Code)

Max Activating Token Index: 288

Text #13

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Max Act: 0.0144. Min Act: -0.0004

Data Index: 1624258 (Python Code)

Max Activating Token Index: 693

Text #14

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Data Index: 1635734 (Python Code)

Max Activating Token Index: 332

Text #15

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Data Index: 1557342 (Python Code)

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Text #16

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Data Index: 1470890 (Python Code)

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Text #17

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Data Index: 1372927 (Python Code)

Max Activating Token Index: 573

Text #18

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Data Index: 1420502 (Python Code)

Max Activating Token Index: 454

Text #19

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Max Act: 0.0139. Min Act: -0.0004

Data Index: 1545191 (Python Code)

Max Activating Token Index: 682