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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 329
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    Explanations

    statistical metrics related to yardage and touchdowns in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    حوالہ
    -0.64
    führende
    -0.57
     Schlafzimmer
    -0.56
    ecio
    -0.55
     Robson
    -0.54
    ائمة
    -0.54
     seno
    -0.53
     programmation
    -0.52
    camore
    -0.52
    orm
    -0.52
    POSITIVE LOGITS
     yards
    1.68
     Yards
    1.23
    yards
    1.21
     yds
    0.95
    yard
    0.94
    #+#
    0.86
     مشين
    0.83
     yard
    0.75
    ########.
    0.65
    aarrggbb
    0.64
    Activations Density 0.355%

    No Known Activations