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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 13-GEMMASCOPE-RES-16K
    6. 81
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    Explanations

    terms and references related to downtown areas and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    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
    -0.78
    OGND
    -0.63
    ภัย
    -0.52
    SourceChecksum
    -0.52
     يتيمه
    -0.49
    Pfalz
    -0.48
     aérienne
    -0.47
    tvguidetime
    -0.47
    fahrens
    -0.47
    }*/
    
    -0.46
    POSITIVE LOGITS
     downtown
    1.29
    downtown
    1.06
    Downtown
    1.05
     Downtown
    1.01
    ntown
    0.75
     Innenstadt
    0.74
    DockStyle
    0.73
     streets
    0.70
     merchants
    0.68
    streets
    0.65
    Activations Density 0.136%

    No Known Activations