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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. 2793
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    Explanations

    references to resources and resource allocation

    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
     defaultstate
    -0.46
     Biôgrafia
    -0.40
     <<<<<<<<<<<<<<
    -0.40
     للمعارف
    -0.36
     advogado
    -0.35
    ạy
    -0.35
    rand
    -0.34
    kenstock
    -0.33
    exif
    -0.33
    yyyy
    -0.32
    POSITIVE LOGITS
     RESOURCE
    0.88
     getResource
    0.87
     Resource
    0.87
     resource
    0.82
    Resource
    0.73
     Resources
    0.72
     Ressources
    0.71
     resources
    0.71
    getResource
    0.69
     RESOURCES
    0.68
    Activations Density 0.079%

    No Known Activations