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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10311
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    INDEX
    Explanations

    references to specific locations or geographical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    airports

    np_acts-logits-general · gemini-2.0-flash

    airport locations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.53
    RTDA
    -0.50
    InitVars
    -0.48
    ElementException
    -0.46
    niająca
    -0.46
    XmlAccessorType
    -0.44
     laikā
    -0.43
    xase
    -0.42
    warnai
    -0.42
     MainAxisSize
    -0.42
    POSITIVE LOGITS
     airport
    1.95
     Airport
    1.65
     airports
    1.63
    airport
    1.55
    Airport
    1.47
     aeropuerto
    1.39
     Airports
    1.31
    机场
    1.27
     Flughafen
    1.26
     aeroporto
    1.22
    Activations Density 0.176%

    No Known Activations