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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 11828
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    Explanations

    references to the medical field and related terminology

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

    starting with "Med" or "med"

    np_acts-logits-general · gemini-2.0-flash

    Med- prefix compounds

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    — 
    -0.63
    NewReader
    -0.61
     nonatomic
    -0.56
     kaynağından
    -0.56
    pexpr
    -0.55
    cokinetic
    -0.53
    >>>>>>>
    -0.53
    createComponent
    -0.52
    UnitTesting
    -0.52
    — 
    -0.52
    POSITIVE LOGITS
     Medford
    0.70
     MED
    0.68
     Med
    0.67
     medu
    0.67
    Med
    0.66
     Medi
    0.65
     medi
    0.58
    Medi
    0.57
    httphttps
    0.55
     Medvedev
    0.52
    Activations Density 0.108%

    No Known Activations