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

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

Neuron 2641 in Layer 5

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



Text #0

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Max Act: 0.0509. Min Act: -0.0001

Data Index: 359457 (C4 (Web Text))

Max Activating Token Index: 618

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Truncated

Full Text #0


Text #1

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Max Act: 0.0499. Min Act: -0.0001

Data Index: 253745 (C4 (Web Text))

Max Activating Token Index: 445

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Truncated

Full Text #1


Text #2

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Max Act: 0.0446. Min Act: -0.0001

Data Index: 36317 (C4 (Web Text))

Max Activating Token Index: 521

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Truncated

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Text #3

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Max Act: 0.0404. Min Act: -0.0001

Data Index: 1060980 (C4 (Web Text))

Max Activating Token Index: 793

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Truncated

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Text #4

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Max Act: 0.0454. Min Act: -0.0001

Data Index: 454551 (C4 (Web Text))

Max Activating Token Index: 524

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Truncated

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Text #5

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Max Act: 0.0424. Min Act: -0.0001

Data Index: 104348 (C4 (Web Text))

Max Activating Token Index: 467

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Truncated

Full Text #5


Text #6

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Data Index: 798634 (C4 (Web Text))

Max Activating Token Index: 502

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Truncated

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Text #7

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Data Index: 10263 (C4 (Web Text))

Max Activating Token Index: 1008

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Truncated

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Text #8

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Max Act: 0.0400. Min Act: -0.0001

Data Index: 11445 (C4 (Web Text))

Max Activating Token Index: 315

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Truncated

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Text #9

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Max Act: 0.0447. Min Act: -0.0001

Data Index: 225135 (C4 (Web Text))

Max Activating Token Index: 739

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Truncated

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Text #10

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Data Index: 373093 (C4 (Web Text))

Max Activating Token Index: 797

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Truncated

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Text #11

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Data Index: 1010546 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 972694 (C4 (Web Text))

Max Activating Token Index: 505

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Truncated

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Text #13

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Data Index: 1616561 (Python Code)

Max Activating Token Index: 985

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Truncated

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Text #14

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Data Index: 1539370 (Python Code)

Max Activating Token Index: 838

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Truncated

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Text #15

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Max Act: 0.0396. Min Act: -0.0001

Data Index: 459982 (C4 (Web Text))

Max Activating Token Index: 377

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Truncated

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Text #16

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Max Act: 0.0423. Min Act: -0.0001

Data Index: 1332696 (C4 (Web Text))

Max Activating Token Index: 729

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Truncated

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Text #17

Max Range: 0.0509. Min Range: -0.0509

Max Act: 0.0422. Min Act: -0.0001

Data Index: 1269702 (C4 (Web Text))

Max Activating Token Index: 966

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Text #18

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Max Act: 0.0402. Min Act: -0.0001

Data Index: 1161425 (C4 (Web Text))

Max Activating Token Index: 865

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Truncated

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Text #19

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Max Act: 0.0377. Min Act: -0.0001

Data Index: 1593510 (Python Code)

Max Activating Token Index: 939

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