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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7745
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    terms related to cosmetic procedures and aging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     elétrica
    -0.37
    舺
    -0.33
     Roskov
    -0.33
     enfermos
    -0.33
     yatak
    -0.32
     Superhosts
    -0.32
     cardíaca
    -0.32
     moindre
    -0.31
     タグ
    -0.31
    údos
    -0.30
    POSITIVE LOGITS
     cosmetic
    0.90
     Botox
    0.87
     aesthetic
    0.85
     Cosmetic
    0.85
    cosmetic
    0.82
     Aesthetic
    0.82
    Cosmetic
    0.82
     facelift
    0.79
     aesthetics
    0.77
    aesthetic
    0.77
    Activations Density 0.218%

    No Known Activations