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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. 16076
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    Explanations

    information about residential properties, specifically focusing on the number of bedrooms and bathrooms

    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
     EconPapers
    -0.62
    MarshalTo
    -0.56
     فريبيس
    -0.55
    EndContext
    -0.54
    tagHelperRunner
    -0.52
    ValueGeneration
    -0.50
     Италијани
    -0.48
    RectangleBorder
    -0.48
    InitVars
    -0.48
     joaat
    -0.47
    POSITIVE LOGITS
     bedrooms
    1.21
     bedroom
    1.09
     Bedrooms
    1.01
     Bedroom
    0.93
    bedroom
    0.92
     BEDROOM
    0.82
    Bedroom
    0.82
     Schlafzimmer
    0.80
    Bedrooms
    0.80
     beds
    0.79
    Activations Density 0.135%

    No Known Activations