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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 2782
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    names and references to fighters in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    يكب
    -0.54
    #+#
    -0.52
     MotionEvent
    -0.51
     NOK
    -0.50
    TypedDataSet
    -0.49
     Италијани
    -0.48
     jspb
    -0.48
    ValueStyle
    -0.48
     unknownFields
    -0.48
    Vidite
    -0.47
    POSITIVE LOGITS
     Mongolia
    0.80
     Mongolian
    0.79
     Erden
    0.59
     Mongol
    0.57
     solteiro
    0.55
    Mong
    0.55
     Mongols
    0.54
    berdayakan
    0.50
    Mongo
    0.49
    expliquer
    0.49
    Activations Density 0.102%

    No Known Activations