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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 3528
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    INDEX
    Explanations

    keywords and phrases related to medical conditions and treatments, particularly with a focus on prevention, care, and therapeutic approaches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    scientific and medical terminology related to health research, diagnosis, and treatment.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    commas appearing after key technical or descriptive terms in academic and technical writing.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     female
    -0.38
     Catholic
    -0.36
     HTTP
    -0.35
     république
    -0.34
     púb
    -0.33
     kvinder
    -0.32
     dogs
    -0.32
     male
    -0.32
     alcohol
    -0.32
     company
    -0.31
    POSITIVE LOGITS
     prevention
    0.77
     monitoring
    0.65
     surveillance
    0.64
    prevention
    0.64
     repair
    0.63
     deterrence
    0.62
     prophylaxis
    0.62
    providedIn
    0.61
    nagem
    0.60
     recovery
    0.59
    Activations Density 1.175%

    No Known Activations