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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 10339
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    Explanations

    components related to high-intensity exercise and recovery methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GEBURTS
    -0.60
    enumii
    -0.60
    WebElementEntity
    -0.58
    AnchorStyles
    -0.58
     виправивши
    -0.53
     Савезне
    -0.52
    logitech
    -0.48
    EDEFAULT
    -0.48
    Personendaten
    -0.48
     corporativa
    -0.48
    POSITIVE LOGITS
     muscle
    0.69
    muscle
    0.51
    Muscle
    0.51
     fatig
    0.50
     Muscle
    0.50
     hypertrophy
    0.50
     muscles
    0.49
     barbell
    0.47
     CrossFit
    0.47
     endurance
    0.47
    Activations Density 0.226%

    No Known Activations