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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6813
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    Explanations

    names of people and organizations, particularly in a historical or sporting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Witten
    -0.91
     Alcott
    -0.89
     Torrance
    -0.87
     Gurney
    -0.86
     Atiku
    -0.84
     Nugent
    -0.83
    mandu
    -0.81
    Capricorn
    -0.81
     CreateTagHelper
    -0.80
     Caine
    -0.79
    POSITIVE LOGITS
     Hust
    0.85
     Meld
    0.83
    QRect
    0.82
     Bals
    0.82
     Geor
    0.79
     Loh
    0.78
     }}^{\
    0.78
     ALO
    0.78
     Schuster
    0.77
    _^
    0.77
    Activations Density 2.581%

    No Known Activations