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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. 5458
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    Explanations

    instances of medical and pediatric terms, particularly in relation to childhood illness and nursing

    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
     prisoners
    -0.43
     seniors
    -0.41
     mahasiswa
    -0.40
     Paglinawan
    -0.39
     students
    -0.39
     informée
    -0.38
     retirees
    -0.36
     cats
    -0.36
    Seniors
    -0.35
     vrouwen
    -0.35
    POSITIVE LOGITS
     ped
    1.75
     pediatric
    1.62
     Pediatric
    1.55
     Child
    1.52
     child
    1.51
     pedi
    1.51
     Ped
    1.49
    ped
    1.49
    Child
    1.44
     CHILD
    1.39
    Activations Density 0.560%

    No Known Activations