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

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

Neuron 1683 in Layer 0

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

Text #0

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Max Act: 0.0344. Min Act: -0.0003

Data Index: 1564450 (Python Code)

Max Activating Token Index: 67

Text #1

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Max Act: 0.0308. Min Act: -0.0004

Data Index: 1536933 (Python Code)

Max Activating Token Index: 141

Text #2

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Max Act: 0.0297. Min Act: -0.0004

Data Index: 1531262 (Python Code)

Max Activating Token Index: 16

Text #3

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Max Act: 0.0288. Min Act: -0.0004

Data Index: 1556328 (Python Code)

Max Activating Token Index: 38

Text #4

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Max Act: 0.0273. Min Act: -0.0004

Data Index: 1370337 (Python Code)

Max Activating Token Index: 143

Text #5

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Max Act: 0.0262. Min Act: -0.0004

Data Index: 1574374 (Python Code)

Max Activating Token Index: 113

Text #6

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Data Index: 1380324 (Python Code)

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Text #7

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Data Index: 1370508 (Python Code)

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Text #8

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Data Index: 1621923 (Python Code)

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Text #9

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Data Index: 1395215 (Python Code)

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Text #10

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Data Index: 1423512 (Python Code)

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Text #11

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Data Index: 1414690 (Python Code)

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Text #12

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Data Index: 1575377 (Python Code)

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Text #13

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Data Index: 1478212 (Python Code)

Max Activating Token Index: 293

Text #14

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Data Index: 1595708 (Python Code)

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Text #15

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Data Index: 1535617 (Python Code)

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Text #16

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Data Index: 1394568 (Python Code)

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Text #17

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Data Index: 1539340 (Python Code)

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Text #18

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Data Index: 1439230 (Python Code)

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Text #19

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Data Index: 1370213 (Python Code)

Max Activating Token Index: 57