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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 35730
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    Explanations

    references to medical imaging terminology, particularly focused on "MC" (machine learning) methods and reconstructions

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

    MC reconstruction

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    
    -0.80
     ladrillo
    -0.57
    icksburg
    -0.56
    ſtion
    -0.56
    esterday
    -0.55
    terday
    -0.54
    izability
    -0.54
     caucho
    -0.54
    Vidite
    -0.53
    ibilidad
    -0.53
    POSITIVE LOGITS
     MC
    2.06
    MC
    1.92
     mc
    1.66
    mc
    1.60
     Mc
    1.28
    Mc
    1.20
     MCQ
    0.85
     MCF
    0.84
    MCS
    0.76
    mcs
    0.75
    Activations Density 0.005%

    No Known Activations