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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 12271
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    Explanations

    references to various types of seating and furniture, particularly focusing on recliners and chairs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dios
    -0.38
    freopen
    -0.38
     request
    -0.37
     veau
    -0.35
    lagi
    -0.34
     Schell
    -0.33
    basedir
    -0.33
     incomplète
    -0.33
    zigen
    -0.33
    request
    -0.32
    POSITIVE LOGITS
     sofa
    0.98
     sofas
    0.95
     couch
    0.92
     couches
    0.82
     Sofa
    0.79
    sofa
    0.77
     sofá
    0.76
    Sofa
    0.73
     recliner
    0.73
     Couch
    0.72
    Activations Density 0.250%

    No Known Activations