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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1158
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    Explanations

    terms related to public transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.66
    
    -0.56
     Meksiku
    -0.54
    SharedDtor
    -0.54
    Personendaten
    -0.52
     CanadaChoose
    -0.50
    rungsseite
    -0.50
     Truck
    -0.47
     Autorizaciones
    -0.46
    ⟭
    -0.46
    POSITIVE LOGITS
     metro
    0.97
     Metro
    0.95
     subway
    0.92
     stations
    0.92
     station
    0.85
    Metro
    0.83
     underground
    0.78
     метро
    0.77
    metro
    0.77
     métro
    0.73
    Activations Density 0.208%

    No Known Activations