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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 10679
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    Explanations

    mentions and details about airports, including their locations, functions, and passenger statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aarrggbb
    -0.49
    ngdoc
    -0.47
    IContainer
    -0.46
    ohjel
    -0.43
    BagConstraints
    -0.42
    devamını
    -0.41
    ConstraintMaker
    -0.41
    ByExample
    -0.40
    fă
    -0.40
    LEGGI
    -0.40
    POSITIVE LOGITS
     Airport
    1.32
     airport
    1.23
    Airport
    1.22
    airport
    1.15
     airports
    1.10
     Airports
    1.05
     Flughafen
    0.94
     aeropuerto
    0.93
    aéroport
    0.90
    空港
    0.87
    Activations Density 0.190%

    No Known Activations