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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14260
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    Explanations

    references to high quality or performance attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedDtor
    -0.38
    Personensuche
    -0.37
    CONSTANT
    -0.35
     MediatR
    -0.35
    tagPool
    -0.34
    delwed
    -0.34
    StoryboardSegue
    -0.34
    Autoritní
    -0.34
    STE
    -0.32
    breadcrumb
    -0.32
    POSITIVE LOGITS
     resiliency
    0.52
    ModelSerializer
    0.52
     strength
    0.51
     resilience
    0.51
    ngthen
    0.50
    帖最后由
    0.50
     efficiency
    0.49
    anganese
    0.49
    oday
    0.48
     שוליים
    0.48
    Activations Density 0.208%

    No Known Activations