Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 507 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0356. Min Act: -0.0002

Data Index: 1284250 (C4 (Web Text))

Max Activating Token Index: 592

Text #1

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Max Act: 0.0318. Min Act: -0.0003

Data Index: 1620381 (Python Code)

Max Activating Token Index: 299

Text #2

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Max Act: 0.0334. Min Act: -0.0003

Data Index: 222713 (C4 (Web Text))

Max Activating Token Index: 17

Text #3

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Max Act: 0.0300. Min Act: -0.0002

Data Index: 546350 (C4 (Web Text))

Max Activating Token Index: 566

Text #4

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 1636397 (Python Code)

Max Activating Token Index: 489

Text #5

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Max Act: 0.0296. Min Act: -0.0003

Data Index: 1464137 (Python Code)

Max Activating Token Index: 633

Text #6

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Data Index: 1462389 (Python Code)

Max Activating Token Index: 613

Text #7

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Data Index: 400177 (C4 (Web Text))

Max Activating Token Index: 642

Text #8

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Data Index: 1492572 (Python Code)

Max Activating Token Index: 489

Text #9

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Max Activating Token Index: 904

Text #10

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Data Index: 1430392 (Python Code)

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Text #11

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Data Index: 587396 (C4 (Web Text))

Max Activating Token Index: 186

Text #12

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Data Index: 1648571 (Python Code)

Max Activating Token Index: 632

Text #13

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Data Index: 1393681 (Python Code)

Max Activating Token Index: 596

Text #14

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Data Index: 1404328 (Python Code)

Max Activating Token Index: 463

Text #15

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Data Index: 1389712 (Python Code)

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Text #16

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Text #17

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Data Index: 235541 (C4 (Web Text))

Max Activating Token Index: 32

Text #18

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Data Index: 1522683 (Python Code)

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Text #19

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Data Index: 1417617 (Python Code)

Max Activating Token Index: 456