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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. 96035
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    Explanations

    specific car brand names and model identifiers

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

    car manufacturers

    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
     Unterscheidung
    -0.39
     Verhältnisse
    -0.35
     libremente
    -0.34
     ferdig
    -0.34
     natürlichen
    -0.33
     Kriterien
    -0.32
     Fassung
    -0.32
     beschik
    -0.32
     wijze
    -0.31
    asında
    -0.31
    POSITIVE LOGITS
    RenderAtEndOf
    0.61
    enciaga
    0.57
     reaſon
    0.57
    atsun
    0.57
    orghini
    0.57
     ſte
    0.57
     Audi
    0.56
     ſch
    0.56
     Chevrolet
    0.56
    koda
    0.55
    Activations Density 0.454%

    No Known Activations