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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10463
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    terms related to nasal and respiratory health issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.53
    ImageContext
    -0.52
    Pyx
    -0.52
     Parcelable
    -0.49
    MPC
    -0.48
    AllowUser
    -0.47
     gawas
    -0.46
    =$?
    -0.45
    localctx
    -0.44
    pushFollow
    -0.44
    POSITIVE LOGITS
     nose
    0.85
     noses
    0.79
     Nose
    0.79
     nariz
    0.77
    Nose
    0.75
    鼻
    0.68
     nasal
    0.67
     鼻
    0.66
     Nasal
    0.64
    nose
    0.62
    Activations Density 0.393%

    No Known Activations