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

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

Neuron 1103 in Layer 0

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

Text #0

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Max Act: 0.0253. Min Act: -0.0004

Data Index: 1472477 (Python Code)

Max Activating Token Index: 83

Text #1

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Max Act: 0.0218. Min Act: -0.0004

Data Index: 1398148 (Python Code)

Max Activating Token Index: 8

Text #2

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Max Act: 0.0212. Min Act: -0.0003

Data Index: 1364584 (Python Code)

Max Activating Token Index: 7

Text #3

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Max Act: 0.0208. Min Act: -0.0003

Data Index: 1395215 (Python Code)

Max Activating Token Index: 360

Text #4

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Max Act: 0.0206. Min Act: -0.0004

Data Index: 1384211 (Python Code)

Max Activating Token Index: 202

Text #5

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Max Act: 0.0204. Min Act: -0.0004

Data Index: 1583079 (Python Code)

Max Activating Token Index: 703

Text #6

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 1621413 (Python Code)

Max Activating Token Index: 58

Text #7

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Data Index: 1612326 (Python Code)

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Text #8

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Data Index: 1655945 (Python Code)

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Text #9

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Data Index: 1497353 (Python Code)

Max Activating Token Index: 7

Text #10

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Data Index: 1527591 (Python Code)

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Text #11

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Data Index: 1450219 (Python Code)

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Text #12

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Data Index: 1541132 (Python Code)

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Text #13

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Data Index: 1578160 (Python Code)

Max Activating Token Index: 16

Text #14

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Data Index: 1641337 (Python Code)

Max Activating Token Index: 661

Text #15

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Data Index: 1637068 (Python Code)

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Text #16

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Data Index: 1489779 (Python Code)

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Text #17

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Data Index: 1463064 (Python Code)

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Text #18

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Data Index: 1557291 (Python Code)

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Text #19

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Max Act: 0.0192. Min Act: -0.0004

Data Index: 1561194 (Python Code)

Max Activating Token Index: 328