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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9025
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    INDEX
    Explanations

    references to bodybuilding and fitness-related topics

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

    relating to muscles and strength

    np_acts-logits-general · gemini-2.0-flash

    muscularity and strength

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IndexPath
    -0.56
     Мексичка
    -0.56
    Personendaten
    -0.56
     الحره
    -0.53
     ujednoznacz
    -0.53
    Източници
    -0.49
    Географиясе
    -0.47
     يتيمه
    -0.46
    emiah
    -0.46
     HasFactory
    -0.46
    POSITIVE LOGITS
     muscular
    0.67
     muscle
    0.65
    Muscle
    0.64
     bodybuilding
    0.63
     Muscles
    0.61
    muscle
    0.60
     Muscle
    0.59
     muscles
    0.59
     biceps
    0.56
     Muscular
    0.53
    Activations Density 0.213%

    No Known Activations