Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2664 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0506. Min Range: -0.0506

Max Act: 0.0484. Min Act: -0.0004

Data Index: 1578887 (Python Code)

Max Activating Token Index: 575

Text #1

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Max Act: 0.0460. Min Act: -0.0004

Data Index: 1400103 (Python Code)

Max Activating Token Index: 622

Text #2

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Max Act: 0.0506. Min Act: -0.0004

Data Index: 457128 (C4 (Web Text))

Max Activating Token Index: 606

Text #3

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Max Act: 0.0494. Min Act: -0.0004

Data Index: 1498984 (Python Code)

Max Activating Token Index: 690

Text #4

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Max Act: 0.0450. Min Act: -0.0004

Data Index: 1430731 (Python Code)

Max Activating Token Index: 591

Text #5

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Max Act: 0.0479. Min Act: -0.0004

Data Index: 297864 (C4 (Web Text))

Max Activating Token Index: 792

Text #6

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Data Index: 1426866 (Python Code)

Max Activating Token Index: 808

Text #7

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Data Index: 1573311 (Python Code)

Max Activating Token Index: 465

Text #8

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Data Index: 1447648 (Python Code)

Max Activating Token Index: 1023

Text #9

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Data Index: 1375730 (Python Code)

Max Activating Token Index: 1023

Text #10

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Data Index: 1438690 (Python Code)

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Text #11

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Data Index: 1474443 (Python Code)

Max Activating Token Index: 485

Text #12

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Data Index: 1463634 (Python Code)

Max Activating Token Index: 339

Text #13

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Data Index: 1383594 (Python Code)

Max Activating Token Index: 9

Text #14

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Data Index: 1420146 (Python Code)

Max Activating Token Index: 92

Text #15

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Data Index: 1612282 (Python Code)

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Text #16

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Data Index: 1539452 (Python Code)

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Text #17

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Data Index: 1468509 (Python Code)

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Text #18

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Data Index: 1410854 (Python Code)

Max Activating Token Index: 621

Text #19

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Max Act: 0.0410. Min Act: -0.0004

Data Index: 1443166 (Python Code)

Max Activating Token Index: 733