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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. 119738
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    Explanations

    references to urban areas, specifically city centers and downtowns

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

    city centre, downtown, central areas

    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
     Wikimedijinoj
    -0.50
    mlink
    -0.47
     Copy
    -0.46
    Copy
    -0.44
    Organisateur
    -0.42
     Household
    -0.42
     ब्रेकडाउन
    -0.41
     pratiquer
    -0.41
     COPY
    -0.41
    copy
    -0.40
    POSITIVE LOGITS
     downtown
    0.60
     city
    0.59
    Downtown
    0.55
    downtown
    0.54
     Innenstadt
    0.52
     Downtown
    0.50
    city
    0.48
     central
    0.47
     cores
    0.45
     zentralen
    0.45
    Activations Density 0.090%

    No Known Activations