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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 5191
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    Explanations

    references to scoring goals 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 @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    //
    -0.56
    脚注の使い方
    -0.55
     оригіналу
    -0.53
    ClientSize
    -0.51
    НИК
    -0.49
    
    -0.49
    bebasan
    -0.48
    lichung
    -0.48
    
    -0.48
    Джерела
    -0.47
    POSITIVE LOGITS
     GenerationType
    0.68
     scorer
    0.68
    $_['
    0.63
     scorers
    0.62
    addCriterion
    0.61
     scoring
    0.60
    styleable
    0.59
    scoring
    0.58
     Scoring
    0.58
     Sniper
    0.58
    Activations Density 0.331%

    No Known Activations