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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11892
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    elements related to athletic achievements and records

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyProduct
    -0.45
     HasFactory
    -0.41
    transQ
    -0.41
     مشين
    -0.39
    endphp
    -0.37
    WaitGroup
    -0.33
    endfor
    -0.33
    InjectAttribute
    -0.33
     telo
    -0.33
    AISSEE
    -0.33
    POSITIVE LOGITS
     fastest
    0.76
     clocked
    0.67
     faster
    0.67
     times
    0.66
    タイム
    0.66
     slowest
    0.66
     tiempos
    0.65
    faster
    0.65
     persönliche
    0.65
     personal
    0.63
    Activations Density 0.090%

    No Known Activations