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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 415
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    Explanations

    mentions of minerals and their related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mybatisplus
    -0.86
    resave
    -0.84
     tramonto
    -0.82
     Kome
    -0.82
     navideña
    -0.80
     Quito
    -0.79
     endwhile
    -0.78
     profonda
    -0.77
     Volga
    -0.77
     isolado
    -0.77
    POSITIVE LOGITS
     mineral
    2.72
     Mineral
    2.46
     minerals
    2.41
    Mineral
    2.32
    mineral
    2.25
     MINERAL
    2.19
     Minerals
    2.05
    Minerals
    1.95
     minerales
    1.69
     минера
    1.65
    Activations Density 0.071%

    No Known Activations