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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 12851
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    Explanations

    individuals with notable sports achievements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     otomatig
    -0.66
    GEBURTSDATUM
    -0.66
     ujednoznacz
    -0.64
    脚注の使い方
    -0.63
     estekak
    -0.63
     препратки
    -0.60
    دانشنامهٔ
    -0.60
     Infórmanos
    -0.59
    Personendaten
    -0.57
     resourceCulture
    -0.57
    POSITIVE LOGITS
     competing
    0.60
     competitors
    0.60
     competitor
    0.57
     prodig
    0.57
     champion
    0.56
     podium
    0.56
    competi
    0.56
     elite
    0.56
     competitive
    0.54
     champions
    0.54
    Activations Density 0.272%

    No Known Activations