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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 8675
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    Explanations

    phrases related to clothing and attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.59
     disambiguazione
    -0.50
    Personendaten
    -0.49
     poveznice
    -0.48
    TypedDataSet
    -0.48
    Referències
    -0.48
    AccessorTable
    -0.48
     дописавши
    -0.47
    expandindo
    -0.47
    endphp
    -0.46
    POSITIVE LOGITS
     attire
    0.90
     dress
    0.84
     clothes
    0.74
     dressed
    0.72
     garb
    0.71
     Kleidung
    0.71
     kleding
    0.70
     Dress
    0.70
     outfits
    0.69
     clothing
    0.69
    Activations Density 0.197%

    No Known Activations