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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 91136
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    Explanations

    terms related to muscle regeneration and surgical reconstruction processes

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

    restoring damaged muscle or bone

    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
    SerializedName
    -0.44
     يتيمه
    -0.40
    UnknownFieldSet
    -0.35
     incoming
    -0.34
    RuleContext
    -0.34
     GreatSchools
    -0.34
    MethodManager
    -0.34
    CONCURRENT
    -0.34
    Kapcsolódó
    -0.32
    杵
    -0.32
    POSITIVE LOGITS
     damaged
    0.96
     restoration
    0.90
    damaged
    0.88
    Damaged
    0.85
     restoring
    0.83
     Damaged
    0.83
    Repair
    0.80
     repairing
    0.79
    repair
    0.78
     restores
    0.78
    Activations Density 0.134%

    No Known Activations