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

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

Neuron 1322 in Layer 1

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

Text #0

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Max Act: 0.0499. Min Act: -0.0003

Data Index: 1636873 (Python Code)

Max Activating Token Index: 495

Text #1

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Max Act: 0.0497. Min Act: -0.0003

Data Index: 1436919 (Python Code)

Max Activating Token Index: 188

Text #2

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Max Act: 0.0478. Min Act: -0.0002

Data Index: 1448642 (Python Code)

Max Activating Token Index: 991

Text #3

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Max Act: 0.0460. Min Act: -0.0002

Data Index: 1601834 (Python Code)

Max Activating Token Index: 270

Text #4

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Max Act: 0.0458. Min Act: -0.0003

Data Index: 1654473 (Python Code)

Max Activating Token Index: 235

Text #5

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Max Act: 0.0453. Min Act: -0.0003

Data Index: 1629703 (Python Code)

Max Activating Token Index: 467

Text #6

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Data Index: 1496229 (Python Code)

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Text #7

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Data Index: 1634611 (Python Code)

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Text #8

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Data Index: 1386729 (Python Code)

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Text #9

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Data Index: 1360325 (Python Code)

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Text #10

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Data Index: 1563284 (Python Code)

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Text #11

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Data Index: 1602858 (Python Code)

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Text #12

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Data Index: 1612548 (Python Code)

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Text #13

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Data Index: 1362208 (Python Code)

Max Activating Token Index: 701

Text #14

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Data Index: 1656167 (Python Code)

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Text #15

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Data Index: 1495741 (Python Code)

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Text #16

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Data Index: 1580134 (Python Code)

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Text #17

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Data Index: 1521024 (Python Code)

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Text #18

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Data Index: 1568964 (Python Code)

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Text #19

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Max Act: 0.0380. Min Act: -0.0002

Data Index: 1449225 (Python Code)

Max Activating Token Index: 631