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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15915
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    terms related to renal health and related medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Coleoptera
    -0.40
     saites
    -0.37
    utiva
    -0.37
     kha
    -0.35
    quiti
    -0.35
     termite
    -0.35
     Saigon
    -0.34
    ']='
    -0.33
     Marne
    -0.33
    vector
    -0.32
    POSITIVE LOGITS
     kidney
    1.61
     renal
    1.53
     kidneys
    1.43
     Kidney
    1.43
     Renal
    1.38
    Kidney
    1.38
    Renal
    1.30
     nephro
    1.27
     neph
    1.26
    腎
    1.25
    Activations Density 0.570%

    No Known Activations