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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. 7566
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    Explanations

    references to popular muscle cars and their characteristics

    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
     huur
    -0.45
    Map
    -0.40
    사
    -0.36
    map
    -0.36
     программ
    -0.35
     Alamos
    -0.35
     AppBundle
    -0.35
    ListItemIcon
    -0.34
    Externí
    -0.34
    cist
    -0.34
    POSITIVE LOGITS
     muscle
    0.85
     restoration
    0.79
     Muscle
    0.78
    muscle
    0.77
    Muscle
    0.75
     restorations
    0.70
     chopper
    0.66
     restoring
    0.66
     cruising
    0.66
    verwijspagina
    0.66
    Activations Density 0.268%

    No Known Activations