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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 7775
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    terms related to muscle health and physiology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Meksiku
    -0.52
    NameInMap
    -0.50
    Datuak
    -0.49
    
    -0.49
     nahilalakip
    -0.47
    mergeFrom
    -0.45
     TestBed
    -0.45
    XmlAccessorType
    -0.44
    RuntimeObject
    -0.44
    endregion
    -0.42
    POSITIVE LOGITS
     muscle
    1.71
     muscles
    1.67
    muscle
    1.42
    Muscle
    1.41
     Muscle
    1.41
     Muscles
    1.37
     músculos
    1.27
     músculo
    1.20
     MUS
    1.20
     otot
    1.20
    Activations Density 0.609%

    No Known Activations