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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 95755
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    Explanations

    specific types of nouns related to buildings and military units

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

    Guard, uniform, police, collie

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Serial
    -0.36
     mence
    -0.35
    ời
    -0.33
    시오
    -0.32
     bio
    -0.32
     bios
    -0.32
     purification
    -0.31
     preparados
    -0.31
     Serial
    -0.31
    ismet
    -0.31
    POSITIVE LOGITS
     disambiguazione
    0.73
     Administrativna
    0.64
    EDEFAULT
    0.63
     Paglinawan
    0.63
    RenderAtEndOf
    0.61
     '\\;'
    0.56
     Италијани
    0.56
    Tikang
    0.55
    CloseOperation
    0.54
     للاسماء
    0.53
    Activations Density 0.094%

    No Known Activations