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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9531
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    terms related to licensed healthcare professionals, particularly nurses and their various roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dziew
    -0.45
     Budaya
    -0.44
     exposición
    -0.43
     frito
    -0.43
    ýš
    -0.41
     climati
    -0.41
    IntoConstraints
    -0.41
    mogat
    -0.41
     deliciously
    -0.41
    istocene
    -0.40
    POSITIVE LOGITS
     professional
    0.69
     Professional
    0.61
     profession
    0.61
    professional
    0.57
     licensed
    0.57
     qualified
    0.57
     trained
    0.55
     Profession
    0.54
     physician
    0.54
    profession
    0.53
    Activations Density 0.268%

    No Known Activations