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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. 5835
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    terms related to biological structures and processes, particularly in a medical or scientific context

    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
     Psy
    -0.43
     HasFactory
    -0.40
     Waray
    -0.40
    脚注の使い方
    -0.39
     Corey
    -0.38
     Jonas
    -0.37
     Goddard
    -0.37
    Jonas
    -0.37
    popd
    -0.37
    
    -0.37
    POSITIVE LOGITS
     collagen
    0.98
     connective
    0.93
     matrix
    0.91
     tissue
    0.82
    matrix
    0.77
     Collagen
    0.76
     fibroblasts
    0.74
     Matrix
    0.73
     matrices
    0.73
     matrice
    0.72
    Activations Density 1.508%

    No Known Activations