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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7500
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    terms related to real estate and rental market dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     فريبيس
    -0.68
     HasFactory
    -0.67
     disambiguazione
    -0.56
    Istorija
    -0.55
    moga
    -0.54
    ➟
    -0.52
    ItemBackground
    -0.52
    kuuta
    -0.52
    Continuity
    -0.52
    Filmography
    -0.51
    POSITIVE LOGITS
     cost
    0.69
    cost
    0.68
     prices
    0.62
     costs
    0.60
     exorbitant
    0.59
     prohib
    0.59
     expensive
    0.59
     costly
    0.56
    PYX
    0.56
    Cost
    0.54
    Activations Density 0.186%

    No Known Activations