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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. 125641
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    INDEX
    Explanations

    terms related to skyscrapers and their characteristics

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

    skyscrapers, glass, and city views

    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
    RefNanny
    -0.46
    numerusform
    -0.45
    
    -0.44
    titleMargin
    -0.44
    LabelTagHelper
    -0.44
    ViewFeatures
    -0.44
    MIDDLEWARE
    -0.42
    󠁣
    -0.41
     campes
    -0.41
     ProtoMessage
    -0.41
    POSITIVE LOGITS
     skyscraper
    0.60
     skyscrapers
    0.57
    🏙
    0.49
     Skys
    0.48
     skyline
    0.48
    UnsafeEnabled
    0.44
    🏢
    0.40
    eficiente
    0.38
    🌃
    0.37
     commerce
    0.37
    Activations Density 0.190%

    No Known Activations