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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. 8123
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    Explanations

    references to physical appearances, particularly facial features and cosmetic treatments

    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
    脚注の使い方
    -0.57
    httphttps
    -0.53
     transfieras
    -0.50
    RegistryLite
    -0.48
     فريبيس
    -0.48
    WithIOException
    -0.47
    iastes
    -0.47
    knee
    -0.46
    stdc
    -0.45
    تقاوى
    -0.45
    POSITIVE LOGITS
     facial
    1.58
     face
    1.52
     Face
    1.38
     faces
    1.34
     Facial
    1.32
    Facial
    1.27
    Face
    1.25
    face
    1.23
    facial
    1.20
     ansik
    1.17
    Activations Density 0.190%

    No Known Activations