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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. 7604
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    information related to vintage cars and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Entstehung
    -0.48
     czyn
    -0.47
     âmes
    -0.45
    othelioma
    -0.45
     toepassing
    -0.45
     Suomessa
    -0.43
     desmotivaciones
    -0.43
    libatkan
    -0.42
     realizacji
    -0.42
    RESUMO
    -0.42
    POSITIVE LOGITS
     upgraded
    0.73
     upgrades
    0.55
     tinted
    0.54
    UserScript
    0.53
     upgrade
    0.53
     kaarangay
    0.51
     stainless
    0.50
     upgrading
    0.48
     Upgrades
    0.48
     custom
    0.47
    Activations Density 0.138%

    No Known Activations