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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. 5460
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    Explanations

    characteristics and performance metrics of athletes in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    expandindo
    -0.47
     záz
    -0.40
     léč
    -0.40
     bēr
    -0.40
    layın
    -0.40
    fetchone
    -0.40
     volontaire
    -0.39
    raisemb
    -0.39
     návště
    -0.38
     virksom
    -0.36
    POSITIVE LOGITS
     versatility
    0.63
    #+#
    0.56
     versatile
    0.56
    AddTagHelper
    0.52
     matured
    0.51
    balleur
    0.51
     dominating
    0.50
    Diweddarwch
    0.50
    atility
    0.50
     Mero
    0.50
    Activations Density 0.133%

    No Known Activations