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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 4509
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    references to the number and types of bedrooms and bathrooms in residential properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ✨:
    -0.50
    kegaard
    -0.49
    VYMaps
    -0.48
    AnimationsModule
    -0.48
    })*/
    -0.45
    İstinadlar
    -0.45
    `}
    -0.45
     Alfaro
    -0.45
     '').
    -0.45
     alimentaria
    -0.44
    POSITIVE LOGITS
    bedroom
    0.65
     bedrooms
    0.63
     bedroom
    0.63
     Bedroom
    0.60
    Bedroom
    0.58
     Bedrooms
    0.58
     BEDROOM
    0.56
    Bedrooms
    0.54
     فريبيس
    0.46
    yarnpkg
    0.44
    Activations Density 0.114%

    No Known Activations