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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4213
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    references to educational achievement and grading

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/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.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
     soft
    -0.41
    TagMode
    -0.40
    MethodManager
    -0.39
     ModelRenderer
    -0.37
     cref
    -0.37
    soft
    -0.37
    々木
    -0.35
    出版年
    -0.34
    insegna
    -0.34
     Soft
    -0.33
    POSITIVE LOGITS
     grad
    1.95
    grad
    1.86
     gradient
    1.83
     graduate
    1.77
     GRAD
    1.76
    Grad
    1.75
     Grad
    1.73
     Gradient
    1.67
    GRAD
    1.62
    graduate
    1.59
    Activations Density 0.103%

    No Known Activations