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

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

Neuron 750 in Layer 1

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

Text #0

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Max Act: 0.0469. Min Act: -0.0003

Data Index: 1565717 (Python Code)

Max Activating Token Index: 642

Text #1

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Max Act: 0.0459. Min Act: -0.0003

Data Index: 1363285 (Python Code)

Max Activating Token Index: 430

Text #2

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Max Act: 0.0429. Min Act: -0.0003

Data Index: 1406033 (Python Code)

Max Activating Token Index: 747

Text #3

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Max Act: 0.0437. Min Act: -0.0002

Data Index: 1611615 (Python Code)

Max Activating Token Index: 607

Text #4

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 1438061 (Python Code)

Max Activating Token Index: 457

Text #5

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Max Act: 0.0418. Min Act: -0.0002

Data Index: 1493482 (Python Code)

Max Activating Token Index: 359

Text #6

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Max Act: 0.0409. Min Act: -0.0002

Data Index: 1505506 (Python Code)

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Text #7

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Max Act: 0.0397. Min Act: -0.0003

Data Index: 1460689 (Python Code)

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Text #8

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 1407669 (Python Code)

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Text #9

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Max Act: 0.0386. Min Act: -0.0002

Data Index: 1484035 (Python Code)

Max Activating Token Index: 704

Text #10

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Data Index: 1537901 (Python Code)

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Text #11

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Data Index: 1499894 (Python Code)

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Text #12

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 1422363 (Python Code)

Max Activating Token Index: 449

Text #13

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Max Act: 0.0390. Min Act: -0.0003

Data Index: 1581749 (Python Code)

Max Activating Token Index: 402

Text #14

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Data Index: 1362594 (Python Code)

Max Activating Token Index: 359

Text #15

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Data Index: 1486087 (Python Code)

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Text #16

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Data Index: 646375 (C4 (Web Text))

Max Activating Token Index: 991

Text #17

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Data Index: 1435417 (Python Code)

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Text #18

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Data Index: 1623029 (Python Code)

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Text #19

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1238115 (C4 (Web Text))

Max Activating Token Index: 668