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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 90756
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    INDEX
    Explanations

    phrases related to potential hazards and risk assessments in medical contexts

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

    chemicals, products, substances, materials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    detectChanges
    -0.59
    CopyWith
    -0.51
    SBATCH
    -0.47
    FieldBuilder
    -0.43
     TestBed
    -0.43
     يتيمه
    -0.43
    原始内容存档于
    -0.40
     LIABLE
    -0.40
    fromLTRB
    -0.38
    onOptions
    -0.38
    POSITIVE LOGITS
     chemicals
    0.68
    chemicals
    0.60
     product
    0.57
     substance
    0.56
     substances
    0.56
     produto
    0.56
     products
    0.55
     material
    0.55
     produkt
    0.54
     bahan
    0.53
    Activations Density 0.015%

    No Known Activations