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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4923
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    Explanations

    references to beauty products and their application techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erçe
    -0.45
     pouvoit
    -0.43
     agricultura
    -0.42
     coute
    -0.42
     flota
    -0.40
     kapturem
    -0.37
     rasanya
    -0.37
     vectorielle
    -0.37
     rę
    -0.36
     immobilier
    -0.36
    POSITIVE LOGITS
     lipstick
    0.66
    💄
    0.60
     mascara
    0.59
     makeup
    0.58
    seido
    0.56
    makeup
    0.56
     eyelash
    0.55
     eyeshadow
    0.55
    Makeup
    0.54
    belline
    0.54
    Activations Density 0.051%

    No Known Activations