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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3577
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    Explanations

    references to various types of metals and their properties or uses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pageContext
    -0.52
    SourceChecksum
    -0.52
     SDLK
    -0.52
     Ogre
    -0.51
     Khat
    -0.50
    MeasureSpec
    -0.50
     חיצוניים
    -0.49
     Presby
    -0.48
    StructEnd
    -0.48
    ậc
    -0.47
    POSITIVE LOGITS
     metal
    0.99
     metals
    0.91
     Metals
    0.91
     métal
    0.90
    Metal
    0.88
     Metal
    0.88
     métallique
    0.88
     metallic
    0.86
    Metals
    0.83
    Metallic
    0.82
    Activations Density 0.875%

    No Known Activations