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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 3255
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    Explanations

    medical and scientific terminology related to drugs or treatments

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

    scientific terminology and chemical/medical abbreviations.

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

    chemical compounds and molecular terminology, particularly focusing on dopamine-related substances and chemical nomenclature.

    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
    mnar
    -0.34
     romántica
    -0.33
    echa
    -0.33
     concorso
    -0.33
     Câmara
    -0.32
     apresentar
    -0.32
     vapeur
    -0.32
     näytte
    -0.31
    licitations
    -0.31
    rantz
    -0.31
    POSITIVE LOGITS
     للاسماء
    0.82
     فريبيس
    0.75
     propOrder
    0.70
    Hentet
    0.68
    脚注の使い方
    0.66
    RTLR
    0.66
    rungsseite
    0.66
    tagHelperRunner
    0.65
     nakalista
    0.65
     صوتيه
    0.64
    Activations Density 0.519%

    No Known Activations