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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15691
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    Explanations

    terms associated with efficiency and effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GenerationType
    -0.80
    windowFixed
    -0.78
     PyLong
    -0.74
     endforeach
    -0.73
     @"/
    -0.72
    paux
    -0.72
     traffico
    -0.71
     Efq
    -0.71
    ViewFeatures
    -0.69
    endforeach
    -0.69
    POSITIVE LOGITS
     efficiency
    0.76
     Efficiency
    0.72
    efficiency
    0.66
    ↵↵
    0.62
     tanto
    0.61
    efficient
    0.59
    Efficiency
    0.58
     efficient
    0.57
     efficiencies
    0.54
     EFFICIENCY
    0.54
    Activations Density 0.164%

    No Known Activations