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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
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    Explanations

    instances of the word "wearing" and its variations within different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.87
    הערות
    -0.83
    InjectAttribute
    -0.78
     Monfieur
    -0.75
    DebuggerNonUser
    -0.74
     defaultstate
    -0.73
    //
    -0.72
    abestanden
    -0.71
     newArray
    -0.71
     للمعارف
    -0.70
    POSITIVE LOGITS
     carrying
    0.80
     wearing
    0.75
     holding
    0.74
     Atlantic
    0.65
    Wearing
    0.64
     Nations
    0.63
     nursing
    0.62
     Carrying
    0.60
     Nursing
    0.59
    Carrying
    0.59
    Activations Density 0.066%

    No Known Activations