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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. 35350
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    INDEX
    Explanations

    email-related terms and structure, focusing on recipients, carbon copy, and subjects

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

    CC and Subject lines

    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
     للاسماء
    -0.71
     跳转至
    -0.63
     surla
    -0.63
    SharedDtor
    -0.63
    TargetException
    -0.62
     Italijanski
    -0.61
    oredCriteria
    -0.60
     nonUne
    -0.57
    évaluateur
    -0.56
    EndContext
    -0.56
    POSITIVE LOGITS
     cópia
    0.40
    Subject
    0.39
    SUBJECT
    0.35
    CC
    0.35
     ehre
    0.32
    diğini
    0.32
    subject
    0.32
     kop
    0.32
     subject
    0.32
     sappiamo
    0.31
    Activations Density 0.015%

    No Known Activations