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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 847
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    keywords related to sports outcomes and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     informée
    -0.65
    Билгалдахарш
    -0.47
    itinéraire
    -0.39
    nata
    -0.37
     moeite
    -0.37
    tivis
    -0.36
    Примі
    -0.35
    ineno
    -0.35
    GraphicsUnit
    -0.34
    twimg
    -0.34
    POSITIVE LOGITS
     aggregate
    0.61
     aggregates
    0.57
     overall
    0.53
    aggregate
    0.52
     disambiguazione
    0.51
     aggreg
    0.49
     agg
    0.48
    RegressionTest
    0.48
    Aggregate
    0.47
     halftime
    0.47
    Activations Density 0.200%

    No Known Activations