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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. 6151
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    Explanations

    references to historical buildings or locations

    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
    bleau
    -0.47
     Autobahn
    -0.37
     suburban
    -0.36
     kebun
    -0.35
     Westchester
    -0.35
     saisir
    -0.32
     perumahan
    -0.32
     nghiệp
    -0.32
     nikdy
    -0.31
     wieś
    -0.31
    POSITIVE LOGITS
     downtown
    0.92
     Downtown
    0.83
    Downtown
    0.83
    downtown
    0.79
     squares
    0.75
     square
    0.71
     Square
    0.70
     Market
    0.65
     SQUARE
    0.63
     Courthouse
    0.62
    Activations Density 0.270%

    No Known Activations