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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. 8381
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    Explanations

    references to football players' careers and achievements

    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
     Wembley
    -0.57
    Liverpool
    -0.56
     Liverpool
    -0.56
     Chelsea
    -0.56
     Barcelona
    -0.56
     Manchester
    -0.55
     barcelona
    -0.55
     manchester
    -0.55
     Spurs
    -0.55
     Arsenal
    -0.54
    POSITIVE LOGITS
     OMITBAD
    0.40
     religiosos
    0.40
     sporting
    0.38
    StoryboardSegue
    0.38
     salvación
    0.37
     Rosenberg
    0.37
     religieux
    0.35
     Korn
    0.34
     técn
    0.33
     propriedade
    0.33
    Activations Density 0.191%

    No Known Activations