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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 4386
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    Explanations

    references to meals, particularly lunch

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kháu
    -0.69
    HasAnnotation
    -0.60
     ModelExpression
    -0.58
     gì
    -0.56
    նակ
    -0.52
    Py
    -0.51
    Vib
    -0.51
    ImageBackground
    -0.51
     isNameExpr
    -0.51
     typeof
    -0.51
    POSITIVE LOGITS
     lunch
    1.61
     noon
    1.60
     lunchtime
    1.45
     Lunch
    1.39
    Lunch
    1.38
    lunch
    1.37
     sunset
    1.33
     afternoon
    1.32
     Noon
    1.22
     midday
    1.20
    Activations Density 0.110%

    No Known Activations