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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8710
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    Explanations

    details related to football statistics and player performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Autoritní
    -0.42
    brtc
    -0.41
     Winaray
    -0.40
    ⓧ
    -0.40
    徨
    -0.40
    ėms
    -0.39
    󠁧
    -0.39
    alp
    -0.38
    PYX
    -0.38
     Hague
    -0.37
    POSITIVE LOGITS
     football
    1.41
     quarterback
    1.36
    🏈
    1.24
    football
    1.21
     NFL
    1.20
     Football
    1.20
    Football
    1.20
     quarterbacks
    1.20
     FOOTBALL
    1.15
     QB
    1.08
    Activations Density 0.430%

    No Known Activations