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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. 15852
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    Explanations

    medical terms related to nasal conditions and symptoms

    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
     myſelf
    -0.38
     Kunt
    -0.38
     Mercurio
    -0.37
     gql
    -0.37
     Perla
    -0.36
     voici
    -0.36
     Mercer
    -0.35
    佘
    -0.34
     MPa
    -0.34
    Obrázky
    -0.34
    POSITIVE LOGITS
     nose
    2.05
     Nose
    1.82
     noses
    1.81
     nasal
    1.69
    Nose
    1.66
    nose
    1.63
     nariz
    1.59
    鼻
    1.57
     Nasal
    1.53
     nostrils
    1.46
    Activations Density 0.444%

    No Known Activations