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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11561
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    INDEX
    Explanations

    terms related to diseases, particularly infectious diseases and diabetes

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

    Medical conditions or diseases

    np_acts-logits-general · gemini-2.0-flash

    diseases and medical conditions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    djangoproject
    -0.42
    enterOuterAlt
    -0.42
    IntoConstraints
    -0.39
    oneofs
    -0.39
     někdo
    -0.36
     ListTile
    -0.35
    maakt
    -0.35
     inilah
    -0.35
     prieten
    -0.34
    setLayoutManager
    -0.34
    POSITIVE LOGITS
     prevention
    0.70
     sufferer
    0.67
     sufferers
    0.66
     related
    0.65
     eradication
    0.60
     relief
    0.58
     vaccination
    0.58
    prevention
    0.58
     Related
    0.57
     awareness
    0.57
    Activations Density 0.690%

    No Known Activations