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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 2431
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    Explanations

    references to facial expressions and interactions involving emotions or responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.75
     nakalista
    -0.69
     kasarigan
    -0.63
    tagHelperRunner
    -0.56
    :✨
    -0.56
     дописавши
    -0.56
    הערות
    -0.55
    isContained
    -0.53
     &___
    -0.52
    LLocation
    -0.52
    POSITIVE LOGITS
     face
    3.91
    face
    3.23
     Face
    3.06
    Face
    3.00
     faces
    2.95
     FACE
    2.81
    FACE
    2.63
    faces
    2.47
     Faces
    2.30
     faced
    2.27
    Activations Density 0.844%

    No Known Activations