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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10281
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    Explanations

    conversations and interactions surrounding sports events and athletes, particularly focusing on their achievements and circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     المعيارى
    -0.61
    UrlResolution
    -0.59
    postsleuth
    -0.53
    basicConfig
    -0.52
    ioutil
    -0.51
    GEBURTSDATUM
    -0.51
    脚注の使い方
    -0.50
    SpringBootTest
    -0.50
    তথ্যসূত্র
    -0.49
     invokingState
    -0.48
    POSITIVE LOGITS
     sports
    1.12
     Sports
    0.96
     SPORTS
    0.94
    Sports
    0.93
    sports
    0.91
     sport
    0.88
     sporting
    0.76
    SPORTS
    0.75
     athletes
    0.75
    sport
    0.74
    Activations Density 0.782%

    No Known Activations