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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 11332
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    Explanations

    terms related to the cardiovascular system and its components

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

    medical terminology, particularly related to the cardiovascular system (like veins, ventricles, venous).

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    words containing the substring "ven" (often appearing in medical, pharmaceutical, and anatomical terms).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     conscious
    -0.39
    ifrance
    -0.37
     skues
    -0.37
    期刊论文
    -0.37
     Conscious
    -0.36
     étrangers
    -0.36
     kalangan
    -0.35
    ført
    -0.35
     institucional
    -0.34
    *}$
    -0.34
    POSITIVE LOGITS
     Ven
    0.70
    Personensuche
    0.65
    Ven
    0.63
    LookAnd
    0.56
     يتيمه
    0.56
     ベン
    0.54
     ven
    0.54
     AssemblyCompany
    0.52
     Vent
    0.52
    出版年
    0.50
    Activations Density 0.220%

    No Known Activations