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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. 12734
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    Explanations

    references to healthy and young individuals in medical studies

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

    mentions of medical research comparing patients to healthy controls.

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

    comparisons between healthy individuals and patient groups with medical conditions.

    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
    凹
    -0.23
    朱
    -0.22
     blik
    -0.21
    ản
    -0.21
     ice
    -0.21
    esseurs
    -0.20
    }.\
    -0.20
    拙
    -0.20
     mercy
    -0.20
    cador
    -0.19
    POSITIVE LOGITS
     healthy
    2.86
    healthy
    2.55
    Healthy
    2.41
     Healthy
    2.34
     healthier
    2.27
     healthiest
    2.27
     sehat
    2.02
     zdrow
    2.00
     saudável
    1.95
     gesunde
    1.95
    Activations Density 0.771%

    No Known Activations