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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8644
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    references to cities and geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InjectAttribute
    -0.76
     ostavi
    -0.71
    ObjectContext
    -0.62
    DebuggerStep
    -0.58
    FormState
    -0.58
    TemporalType
    -0.55
    ällig
    -0.54
     aspect
    -0.54
    hasMoreElements
    -0.52
     pstmt
    -0.52
    POSITIVE LOGITS
     London
    0.91
     metropolitan
    0.84
     Tokyo
    0.83
    Tokyo
    0.79
    London
    0.78
     Londra
    0.76
     capitales
    0.76
     Seoul
    0.76
     Mumbai
    0.75
     Amsterdam
    0.75
    Activations Density 0.182%

    No Known Activations