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

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

Neuron 1766 in Layer 0

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

Text #0

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0300. Min Act: -0.0004

Data Index: 1510022 (Python Code)

Max Activating Token Index: 43

Text #1

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Max Act: 0.0287. Min Act: -0.0004

Data Index: 1372386 (Python Code)

Max Activating Token Index: 92

Text #2

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Max Act: 0.0286. Min Act: -0.0004

Data Index: 1596336 (Python Code)

Max Activating Token Index: 440

Text #3

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Max Act: 0.0284. Min Act: -0.0004

Data Index: 1421083 (Python Code)

Max Activating Token Index: 317

Text #4

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Max Act: 0.0281. Min Act: -0.0004

Data Index: 1507874 (Python Code)

Max Activating Token Index: 374

Text #5

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Max Act: 0.0278. Min Act: -0.0004

Data Index: 1383981 (Python Code)

Max Activating Token Index: 582

Text #6

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Max Act: 0.0269. Min Act: -0.0004

Data Index: 1588660 (Python Code)

Max Activating Token Index: 793

Text #7

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Max Act: 0.0269. Min Act: -0.0004

Data Index: 1406371 (Python Code)

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Text #8

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Max Act: 0.0261. Min Act: -0.0004

Data Index: 1402912 (Python Code)

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Text #9

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Max Act: 0.0266. Min Act: -0.0004

Data Index: 1511300 (Python Code)

Max Activating Token Index: 310

Text #10

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Data Index: 1610536 (Python Code)

Max Activating Token Index: 342

Text #11

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Max Act: 0.0264. Min Act: -0.0004

Data Index: 1520823 (Python Code)

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Text #12

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Data Index: 1407812 (Python Code)

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Text #13

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Max Act: 0.0261. Min Act: -0.0004

Data Index: 1408774 (Python Code)

Max Activating Token Index: 259

Text #14

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Max Act: 0.0259. Min Act: -0.0004

Data Index: 1524044 (Python Code)

Max Activating Token Index: 315

Text #15

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Max Act: 0.0257. Min Act: -0.0004

Data Index: 1490292 (Python Code)

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Text #16

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Data Index: 1527714 (Python Code)

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Text #17

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Data Index: 1648120 (Python Code)

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Text #18

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Data Index: 1476708 (Python Code)

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Text #19

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Max Act: 0.0254. Min Act: -0.0004

Data Index: 1533152 (Python Code)

Max Activating Token Index: 466