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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1089
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    Explanations

    references to players and their performances in football matches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MigrationBuilder
    -0.55
    IsMutable
    -0.48
    WebServlet
    -0.45
    BufferException
    -0.45
     AppCompatTheme
    -0.45
     enamorado
    -0.44
     OMITBAD
    -0.44
     dignité
    -0.43
    :✨
    -0.43
     régionales
    -0.42
    POSITIVE LOGITS
     defender
    0.58
     captain
    0.57
     youngster
    0.56
     scorer
    0.56
     rookies
    0.55
     rookie
    0.52
     star
    0.52
     skipper
    0.51
     midfielder
    0.51
    fielder
    0.51
    Activations Density 0.157%

    No Known Activations