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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 5321
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    references to medical conditions and emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PyExc
    -0.84
     AssemblyCulture
    -0.59
    fjspx
    -0.59
    ruptedException
    -0.56
     defStyle
    -0.54
     חיצוניים
    -0.52
    GraphicsUnit
    -0.52
    HomeAsUpEnabled
    -0.52
     समीक्षक
    -0.51
    WireFormatLite
    -0.50
    POSITIVE LOGITS
     transported
    0.74
     taken
    0.73
     flown
    0.72
     hospitalized
    0.70
     consciente
    0.68
     conscious
    0.67
    djangoproject
    0.67
     trasladado
    0.66
     underwent
    0.65
     transferred
    0.64
    Activations Density 0.190%

    No Known Activations