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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 3-GEMMASCOPE-RES-16K
    6. 86
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    terms and phrases related to nasal health and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Victor
    -0.64
    ⓧ
    -0.63
    ulitis
    -0.62
    paddingVertical
    -0.62
    ungkinan
    -0.60
     Victor
    -0.59
    Johanna
    -0.58
     charla
    -0.57
    utuhkan
    -0.56
     Galloway
    -0.56
    POSITIVE LOGITS
     nose
    3.70
     Nose
    3.31
     noses
    3.15
    Nose
    3.08
    nose
    2.93
     nariz
    2.17
    nosed
    1.76
     Nase
    1.66
     nostrils
    1.65
     nasal
    1.59
    Activations Density 0.092%

    No Known Activations