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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. 7143
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    Explanations

    descriptors of fashion items

    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
     desmotivaciones
    -0.77
     enfans
    -0.69
     dapur
    -0.68
     plufieurs
    -0.67
     vectorielle
    -0.66
     avoient
    -0.65
     cheminée
    -0.65
     imprimible
    -0.65
     scienza
    -0.62
     caseros
    -0.61
    POSITIVE LOGITS
     leather
    0.73
     Leather
    0.68
     handbag
    0.66
     suede
    0.61
    leather
    0.59
     handbags
    0.57
    Leather
    0.54
     purse
    0.50
     bag
    0.50
     chic
    0.50
    Activations Density 0.076%

    No Known Activations