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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 5170
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    Explanations

    negative descriptors related to food experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.78
    kháu
    -0.75
    cense
    -0.59
     Вікі
    -0.57
    MMdd
    -0.56
    vivencia
    -0.56
    OSIS
    -0.55
    DotNetBar
    -0.55
    habhar
    -0.54
    nonatomic
    -0.54
    POSITIVE LOGITS
     riuscito
    0.57
     tasted
    0.57
     delicious
    0.56
     smelled
    0.54
     calidad
    0.53
    baomidou
    0.53
     tasty
    0.52
     smelling
    0.51
    ktı
    0.50
    calidad
    0.50
    Activations Density 0.056%

    No Known Activations