Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3914 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0212. Min Act: -0.0002

Data Index: 1564727 (Python Code)

Max Activating Token Index: 275

Text #1

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1415372 (Python Code)

Max Activating Token Index: 433

Text #2

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1452475 (Python Code)

Max Activating Token Index: 315

Text #3

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 1631247 (Python Code)

Max Activating Token Index: 187

Text #4

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Max Act: 0.0184. Min Act: -0.0002

Data Index: 1447525 (Python Code)

Max Activating Token Index: 247

Text #5

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 1380628 (Python Code)

Max Activating Token Index: 688

Text #6

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Data Index: 1470896 (Python Code)

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Text #7

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Data Index: 1390681 (Python Code)

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Text #8

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Data Index: 1589300 (Python Code)

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Text #9

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Data Index: 1609222 (Python Code)

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Text #10

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Data Index: 1457344 (Python Code)

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Text #11

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Data Index: 1402696 (Python Code)

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Text #12

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Data Index: 1422967 (Python Code)

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Text #13

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Data Index: 1478085 (Python Code)

Max Activating Token Index: 83

Text #14

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Data Index: 1544053 (Python Code)

Max Activating Token Index: 310

Text #15

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Data Index: 1593284 (Python Code)

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Text #16

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Data Index: 1546713 (Python Code)

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Text #17

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Data Index: 1389531 (Python Code)

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Text #18

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Data Index: 1576529 (Python Code)

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Text #19

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Data Index: 1383065 (Python Code)

Max Activating Token Index: 485