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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12359
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    Explanations

    names of specific restaurants and food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ImportError
    -0.40
    aarrggbb
    -0.37
    ThroughAttribute
    -0.37
     keper
    -0.35
    astéroïdes
    -0.35
    FormTagHelper
    -0.35
    ResumeLayout
    -0.34
    AutoField
    -0.34
    NameInMap
    -0.33
     propOrder
    -0.33
    POSITIVE LOGITS
     Resto
    0.59
     Grill
    0.58
     Lordships
    0.57
     Hotel
    0.56
     Lounge
    0.56
    grill
    0.54
    Plaza
    0.54
    Grill
    0.54
    Lounge
    0.52
     Colonial
    0.52
    Activations Density 0.312%

    No Known Activations