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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. 11954
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    Explanations

    terms related to medical conditions, specifically focusing on risk factors and prevalence of diseases

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

    People with a condition or disease

    np_acts-logits-general · gemini-2.0-flash

    people suffering from 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
    Hozzáférés
    -0.41
    UserScript
    -0.33
    OTP
    -0.33
    mbira
    -0.32
     rud
    -0.31
     harmon
    -0.31
     Upton
    -0.31
    つもり
    -0.31
     枚
    -0.31
    esgue
    -0.31
    POSITIVE LOGITS
     suffering
    1.42
     suffers
    1.33
     suffer
    1.31
    suffering
    1.22
     Suffering
    1.21
     diagnosed
    1.17
     afflicted
    1.15
     suffered
    1.11
     sufre
    1.11
    罹
    1.06
    Activations Density 0.853%

    No Known Activations