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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. 5129
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    Explanations

    references to downtown areas and their characteristics

    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
    脚注の使い方
    -0.66
     كومونز
    -0.65
     يتيمه
    -0.65
    Viitteet
    -0.58
    Pfalz
    -0.58
     desic
    -0.55
     prefier
    -0.53
     deserts
    -0.52
     Dryer
    -0.52
    cticut
    -0.52
    POSITIVE LOGITS
     downtown
    1.19
     city
    0.95
    Downtown
    0.94
     Downtown
    0.92
    downtown
    0.91
    CITY
    0.77
     streets
    0.74
     City
    0.74
     stads
    0.73
     Innenstadt
    0.73
    Activations Density 0.200%

    No Known Activations