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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 38965
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    Explanations

    formal titles and the usage of names in a professional context

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

    names and nicknames

    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
    KommentareTeilen
    -0.50
    Chham
    -0.46
    ordum
    -0.44
    ఔ
    -0.43
    bootstrapcdn
    -0.43
    NameInMap
    -0.43
     Italijanski
    -0.43
     AttributeSet
    -0.42
    脚注の使い方
    -0.42
    offsetof
    -0.42
    POSITIVE LOGITS
     nicknames
    0.71
     affectionate
    0.69
     nickname
    0.68
     panggilan
    0.65
     affectionately
    0.65
     endearing
    0.65
     shortened
    0.60
    Nickname
    0.59
    nickname
    0.57
     shorten
    0.56
    Activations Density 0.019%

    No Known Activations