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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 3321
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    Explanations

    references to airports and aviation-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    findpost
    -0.81
    /**
    -0.78
     Catharine
    -0.75
    jure
    -0.74
    enterOuterAlt
    -0.74
    \{\\
    -0.73
     Thế
    -0.72
     setLoading
    -0.71
    scriptcase
    -0.71
    PyExc
    -0.70
    POSITIVE LOGITS
     airport
    1.68
     Airport
    1.53
     airports
    1.44
    airport
    1.39
    Airport
    1.27
     Airports
    1.25
    aéroport
    1.15
     aeroporto
    1.05
     aeropuerto
    1.03
    机场
    1.01
    Activations Density 0.059%

    No Known Activations