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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 11811
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    Explanations

    references to prominent sports figures and their performance in competitive contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ujednoznacz
    -0.53
    uxxxx
    -0.53
     disambiguazione
    -0.47
     Winaray
    -0.44
     iprot
    -0.44
    __()
    -0.44
    SKE
    -0.43
     pleasantly
    -0.42
     <>",
    -0.41
    insic
    -0.41
    POSITIVE LOGITS
     dominant
    0.63
     dominance
    0.59
    圧倒
    0.59
     unrival
    0.57
     dominating
    0.57
     super
    0.57
     unrivalled
    0.57
     Dominant
    0.56
     unparalleled
    0.55
     dominante
    0.54
    Activations Density 0.263%

    No Known Activations