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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6309
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    Explanations

    references to fashion and style elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    shoes

    np_acts-logits-general · gemini-2.0-flash

    shoes and handbags

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Réponses
    -0.37
     alberi
    -0.34
     INTERESAR
    -0.34
    ictwo
    -0.34
     ras
    -0.33
     huk
    -0.33
    VIAF
    -0.33
     FEW
    -0.32
    fcntl
    -0.32
    ceus
    -0.32
    POSITIVE LOGITS
    boutin
    0.69
    👠
    0.63
     tacón
    0.61
    IonicModule
    0.60
     Heels
    0.55
    Personendaten
    0.55
     Minaj
    0.55
     stiletto
    0.54
     AssemblyTitle
    0.53
    protoimpl
    0.52
    Activations Density 0.125%

    No Known Activations