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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. 5960
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    terms related to 'mesenteric' structures in a medical or biological context

    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
    richTextPanel
    -0.65
    MethodManager
    -0.65
    ыгана
    -0.62
    newArrayList
    -0.61
    AutoField
    -0.57
    الحياه
    -0.56
    SharedCtor
    -0.56
    vician
    -0.55
    AsUp
    -0.54
     disambiguazione
    -0.54
    POSITIVE LOGITS
     Mes
    0.82
     MES
    0.71
    Mes
    0.70
     mes
    0.68
     Mess
    0.60
     Mesh
    0.58
    mes
    0.57
     mess
    0.49
    Mess
    0.49
     MESS
    0.49
    Activations Density 0.129%

    No Known Activations