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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11640
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    Explanations

    references to types and details of clothing worn or described in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    almaz
    -0.45
    xase
    -0.41
     Conversions
    -0.40
    Traducción
    -0.40
    THA
    -0.40
     Stony
    -0.40
    pandora
    -0.39
    endphp
    -0.39
     ショルダー
    -0.39
    EndProject
    -0.38
    POSITIVE LOGITS
     worn
    0.75
     Worn
    0.58
     wearer
    0.57
     donned
    0.50
     covering
    0.47
     getragen
    0.46
     diken
    0.45
    fjspx
    0.44
     penutup
    0.44
     ketat
    0.44
    Activations Density 0.265%

    No Known Activations