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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 4991
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    references to fashion and clothing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HtmlAttribute
    -0.49
     Pamph
    -0.44
    ModelSerializer
    -0.44
     Vase
    -0.43
    tonode
    -0.42
    CrossRef
    -0.42
     Stornier
    -0.42
     gouden
    -0.42
    󠁿
    -0.42
    ibol
    -0.41
    POSITIVE LOGITS
     collections
    0.73
     fashion
    0.72
     lifestyle
    0.68
     prêt
    0.63
     ready
    0.56
    collections
    0.55
     luxury
    0.55
     colecciones
    0.54
     label
    0.54
     accessories
    0.53
    Activations Density 0.256%

    No Known Activations