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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6452
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    names and titles related to individuals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kowal
    -0.47
     Wier
    -0.44
     enví
    -0.42
     besos
    -0.40
     Gies
    -0.40
     soñ
    -0.39
     haremos
    -0.39
     anlaş
    -0.38
     rather
    -0.37
     Näch
    -0.37
    POSITIVE LOGITS
    Personendaten
    0.82
     AssemblyTitle
    0.80
     ſind
    0.80
     betweenstory
    0.79
     للاسماء
    0.78
     nahilalakip
    0.77
     dezelve
    0.77
     AssemblyCompany
    0.77
    OGND
    0.76
     kasarigan
    0.76
    Activations Density 0.382%

    No Known Activations