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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 29049
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    Explanations

    keywords related to healthcare volunteering and support systems in hospitals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    hospital and healthcare unit descriptions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    StructEnd
    -0.55
     дописавши
    -0.51
    setVerticalGroup
    -0.47
     betweenstory
    -0.47
     SwitchCompat
    -0.46
    Chez
    -0.45
    tagHelperRunner
    -0.45
     profonda
    -0.45
    tuto
    -0.45
     februarie
    -0.45
    POSITIVE LOGITS
     hospital
    0.63
     Hospital
    0.58
    ImageContext
    0.53
    Hospital
    0.50
     hospitals
    0.47
     Hospitals
    0.45
    醫院
    0.43
     Krankenhaus
    0.43
    Hospitals
    0.41
     Nurses
    0.40
    Activations Density 0.180%

    No Known Activations