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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3403
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    Explanations

    concepts related to cosmetic procedures and aging

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    bootstrapcdn
    -0.84
    transQ
    -0.81
     فريبيس
    -0.79
     estekak
    -0.76
    ModelAdmin
    -0.68
    帖最后由
    -0.68
    parsedMessage
    -0.68
    TargetException
    -0.68
    BeginInit
    -0.67
    httphttps
    -0.67
    POSITIVE LOGITS
     skin
    1.01
     Skin
    0.70
    skin
    0.68
    Skin
    0.68
     پوست
    0.63
     peau
    0.63
     pores
    0.63
     skins
    0.61
     SKIN
    0.61
     huden
    0.59
    Activations Density 0.079%

    No Known Activations