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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. 11334
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    Explanations

    the presence of medical institutions and personnel

    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
     ujednoznacz
    -0.65
    뀜
    -0.46
     Wikimedijinoj
    -0.44
     وتسجيلات
    -0.41
     obcí
    -0.41
    ">//
    -0.40
    weightedMode
    -0.40
    LayoutPanel
    -0.40
    󠁮
    -0.39
     jadx
    -0.38
    POSITIVE LOGITS
     hospital
    1.13
     hospitals
    1.05
     Hospital
    1.02
     Hospitals
    0.96
    Hospital
    0.96
    hospital
    0.93
    Hospitals
    0.90
     HOSPITAL
    0.85
    hôpital
    0.77
    医院
    0.76
    Activations Density 0.363%

    No Known Activations