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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 29453
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    Explanations

    references to the quality of food and its comparison to other types of cuisine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    quality is higher

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InstanceState
    -0.65
    存于互联网档案馆
    -0.64
    esModule
    -0.64
     MainAxisSize
    -0.61
    ريح
    -0.60
    Activités
    -0.59
    Hochspringen
    -0.59
    Interests
    -0.58
     solitude
    -0.57
     bezeichneter
    -0.55
    POSITIVE LOGITS
     quality
    1.28
    quality
    1.14
     QUALITY
    1.08
     Quality
    1.07
    Quality
    1.04
    QUALITY
    1.03
     qualidade
    1.02
     calidad
    0.95
     kval
    0.94
     Qualität
    0.94
    Activations Density 0.125%

    No Known Activations