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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11620
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    INDEX
    Explanations

    references to high-intensity exercise and fitness activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Fitness-related activities and training programs

    np_acts-logits-general · gemini-2.0-flash

    fitness and training programs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WebElementEntity
    -0.50
     lenker
    -0.45
    /*
    -0.43
     diritti
    -0.42
     &___
    -0.41
    chestra
    -0.41
    +:+
    -0.41
    Personendaten
    -0.40
     Bürger
    -0.40
    TryParse
    -0.40
    POSITIVE LOGITS
     bodybuilding
    0.88
     hypertrophy
    0.71
     CrossFit
    0.69
     barbell
    0.68
     training
    0.67
     athletes
    0.66
     workouts
    0.66
     Athletes
    0.65
     muscle
    0.65
     Training
    0.64
    Activations Density 0.152%

    No Known Activations