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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. 8952
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    specific football players and their career details

    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
     Administrativna
    -0.66
    
    -0.44
     дописавши
    -0.44
     informée
    -0.41
    GIVEREF
    -0.40
     Bioaccumulative
    -0.40
    multer
    -0.40
     Gesichts
    -0.39
    CheckBreak
    -0.39
     disambiguazione
    -0.39
    POSITIVE LOGITS
     league
    0.96
     Premier
    0.91
     League
    0.81
     Premiership
    0.78
    Premier
    0.77
     Bundesliga
    0.75
     Ligue
    0.75
     Serie
    0.74
     liga
    0.73
     Liga
    0.72
    Activations Density 0.241%

    No Known Activations