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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 16288
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    Explanations

    references to building and zoning classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RTGC
    -0.50
    Personendaten
    -0.48
    windowFixed
    -0.42
     endroits
    -0.41
     località
    -0.41
    endroit
    -0.40
    LLocation
    -0.40
    gelopen
    -0.38
     juridiques
    -0.37
     regiones
    -0.37
    POSITIVE LOGITS
     retail
    1.05
     commercial
    0.91
    retail
    0.90
     offices
    0.90
     residential
    0.84
     Retail
    0.82
     office
    0.81
    Retail
    0.81
    commercial
    0.77
    offices
    0.77
    Activations Density 0.256%

    No Known Activations