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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 33-GEMMASCOPE-RES-16K
    6. 11494
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    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 @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    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
    -0.44
     Kunt
    -0.41
     Efq
    -0.39
     mapStateToProps
    -0.38
     Malvern
    -0.37
    桐
    -0.35
    rédients
    -0.34
     Alquiler
    -0.34
     Jérusalem
    -0.34
    évaluateur
    -0.34
    POSITIVE LOGITS
     nose
    2.19
     noses
    1.95
     Nose
    1.88
    Nose
    1.74
     nasal
    1.73
    nose
    1.69
     nariz
    1.67
     nostrils
    1.60
     Nasal
    1.55
    鼻
    1.52
    Activations Density 0.344%

    No Known Activations