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

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

Neuron 1826 in Layer 0

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

Text #0

Max Range: 0.0442. Min Range: -0.0442

Max Act: 0.0442. Min Act: -0.0004

Data Index: 1536933 (Python Code)

Max Activating Token Index: 275

Text #1

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Max Act: 0.0427. Min Act: -0.0004

Data Index: 1393746 (Python Code)

Max Activating Token Index: 439

Text #2

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Max Act: 0.0413. Min Act: -0.0003

Data Index: 1418818 (Python Code)

Max Activating Token Index: 580

Text #3

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Max Act: 0.0409. Min Act: -0.0004

Data Index: 1608235 (Python Code)

Max Activating Token Index: 438

Text #4

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Max Act: 0.0395. Min Act: -0.0004

Data Index: 1478212 (Python Code)

Max Activating Token Index: 294

Text #5

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 1564450 (Python Code)

Max Activating Token Index: 402

Text #6

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Max Act: 0.0375. Min Act: -0.0004

Data Index: 1487554 (Python Code)

Max Activating Token Index: 327

Text #7

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Data Index: 1446254 (Python Code)

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Text #8

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Data Index: 1572363 (Python Code)

Max Activating Token Index: 416

Text #9

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Max Act: 0.0361. Min Act: -0.0004

Data Index: 1510748 (Python Code)

Max Activating Token Index: 470

Text #10

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Data Index: 1475433 (Python Code)

Max Activating Token Index: 591

Text #11

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Data Index: 1558720 (Python Code)

Max Activating Token Index: 472

Text #12

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Data Index: 1575377 (Python Code)

Max Activating Token Index: 372

Text #13

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Max Act: 0.0338. Min Act: -0.0004

Data Index: 1646088 (Python Code)

Max Activating Token Index: 351

Text #14

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Data Index: 1503548 (Python Code)

Max Activating Token Index: 509

Text #15

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Data Index: 1611745 (Python Code)

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Text #16

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Data Index: 1536003 (Python Code)

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Text #17

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Data Index: 1380918 (Python Code)

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Text #18

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Data Index: 1494628 (Python Code)

Max Activating Token Index: 374

Text #19

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Max Act: 0.0318. Min Act: -0.0004

Data Index: 1495846 (Python Code)

Max Activating Token Index: 381