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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 4732
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    Explanations

    references to ski-related activities and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phosa
    -0.49
     Köln
    -0.45
    ène
    -0.41
     برانيه
    -0.41
     capitale
    -0.41
    رمز
    -0.40
    variate
    -0.40
    aneers
    -0.40
    apeake
    -0.40
    Chennai
    -0.40
    POSITIVE LOGITS
     skiing
    0.92
     alpine
    0.87
     Skiing
    0.84
     skiers
    0.83
     skis
    0.78
     ski
    0.78
     Alpine
    0.73
     Monfieur
    0.73
    ंदीखरीदारी
    0.73
    ⓧ
    0.72
    Activations Density 0.165%

    No Known Activations