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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 10835
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    Explanations

    references to basketball players and their statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    basketball and NBA

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GenerationType
    -0.90
    存于互联网档案馆
    -0.86
    RegressionTest
    -0.86
    ReusableCell
    -0.84
    WebElementEntity
    -0.78
     nahilalakip
    -0.77
     ligiloj
    -0.74
     témoig
    -0.70
    Personendaten
    -0.70
    Datuak
    -0.69
    POSITIVE LOGITS
     basketball
    0.58
     Basketball
    0.52
     NBA
    0.52
     baloncesto
    0.51
    Basketball
    0.51
    NBA
    0.48
    basketball
    0.44
    🏀
    0.41
     FIBA
    0.37
     BASKET
    0.36
    Activations Density 0.065%

    No Known Activations