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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 6458
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    Explanations

    terms related to medical diagnoses and conditions

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

    medical conditions and related terminology, with a strong focus on specific disease names and diagnostic terms.

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

    medical and disease-related terminology, particularly words describing conditions, diagnoses, symptoms, and clinical findings.

    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
     betweenstory
    -0.49
    ########.
    -0.49
    Примі
    -0.45
    erapeutics
    -0.44
    anthene
    -0.43
    bondale
    -0.42
     valmis
    -0.42
    võ
    -0.41
     jScrollPane
    -0.40
     дописавши
    -0.39
    POSITIVE LOGITS
     cancer
    0.88
     Alzheimer
    0.88
     chronic
    0.83
     diabetes
    0.82
     schizophrenia
    0.80
     Diabetes
    0.78
     arthritis
    0.77
     asthma
    0.77
     diseases
    0.76
     autism
    0.76
    Activations Density 1.881%

    No Known Activations