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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14743
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    facts related to college sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KURZBESCHREIBUNG
    -0.47
     Coro
    -0.45
    mita
    -0.44
    ECTS
    -0.44
     Races
    -0.42
     Tiber
    -0.42
    penup
    -0.42
    YMS
    -0.42
     PAIR
    -0.42
    internalType
    -0.41
    POSITIVE LOGITS
     football
    1.16
     Football
    1.05
    🏈
    0.96
    Football
    0.95
    football
    0.93
     quarterback
    0.92
     FOOTBALL
    0.88
     bowl
    0.80
     quarterbacks
    0.79
     Bowl
    0.75
    Activations Density 0.185%

    No Known Activations