Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4227 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0936. Min Range: -0.0936

Max Act: 0.0936. Min Act: -0.0002

Data Index: 242801 (C4 (Web Text))

Max Activating Token Index: 904

Text #1

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Max Act: 0.0875. Min Act: -0.0002

Data Index: 1602060 (Python Code)

Max Activating Token Index: 404

Text #2

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Max Act: 0.0843. Min Act: -0.0002

Data Index: 1624938 (Python Code)

Max Activating Token Index: 30

Text #3

Max Range: 0.0936. Min Range: -0.0936

Max Act: 0.0695. Min Act: -0.0002

Data Index: 357317 (C4 (Web Text))

Max Activating Token Index: 625

Text #4

Max Range: 0.0936. Min Range: -0.0936

Max Act: 0.0803. Min Act: -0.0002

Data Index: 207458 (C4 (Web Text))

Max Activating Token Index: 1006

Text #5

Max Range: 0.0936. Min Range: -0.0936

Max Act: 0.0684. Min Act: -0.0002

Data Index: 181964 (C4 (Web Text))

Max Activating Token Index: 530

Text #6

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Max Act: 0.0697. Min Act: -0.0002

Data Index: 905310 (C4 (Web Text))

Max Activating Token Index: 817

Text #7

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Max Act: 0.0747. Min Act: -0.0002

Data Index: 1624128 (Python Code)

Max Activating Token Index: 876

Text #8

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Max Act: 0.0710. Min Act: -0.0002

Data Index: 242641 (C4 (Web Text))

Max Activating Token Index: 966

Text #9

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Max Act: 0.0874. Min Act: -0.0002

Data Index: 527109 (C4 (Web Text))

Max Activating Token Index: 799

Text #10

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Max Act: 0.0694. Min Act: -0.0002

Data Index: 1365297 (Python Code)

Max Activating Token Index: 420

Text #11

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Max Act: 0.0735. Min Act: -0.0002

Data Index: 1610191 (Python Code)

Max Activating Token Index: 923

Text #12

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Max Act: 0.0680. Min Act: -0.0002

Data Index: 1408433 (Python Code)

Max Activating Token Index: 84

Text #13

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Max Act: 0.0689. Min Act: -0.0002

Data Index: 1549779 (Python Code)

Max Activating Token Index: 69

Text #14

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Max Act: 0.0612. Min Act: -0.0002

Data Index: 1481418 (Python Code)

Max Activating Token Index: 144

Text #15

Max Range: 0.0936. Min Range: -0.0936

Max Act: 0.0631. Min Act: -0.0002

Data Index: 145254 (C4 (Web Text))

Max Activating Token Index: 904

Text #16

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Max Act: 0.0681. Min Act: -0.0002

Data Index: 1609777 (Python Code)

Max Activating Token Index: 724

Text #17

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Max Act: 0.0635. Min Act: -0.0002

Data Index: 3558 (C4 (Web Text))

Max Activating Token Index: 218

Text #18

Max Range: 0.0936. Min Range: -0.0936

Max Act: 0.0662. Min Act: -0.0002

Data Index: 1523303 (Python Code)

Max Activating Token Index: 405

Text #19

Max Range: 0.0936. Min Range: -0.0936

Max Act: 0.0682. Min Act: -0.0002

Data Index: 1504267 (Python Code)

Max Activating Token Index: 10