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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12859
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    Explanations

    various types of materials, particularly plastic and metal, in relation to specific items or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     restoration
    -0.45
     natuurlijke
    -0.40
     Offline
    -0.40
    ResponseWriter
    -0.39
     Verbal
    -0.39
     restauración
    -0.38
     Antique
    -0.38
     TestBed
    -0.38
     restoring
    -0.38
     naturali
    -0.38
    POSITIVE LOGITS
    pperware
    0.64
     plastics
    0.60
     Plastics
    0.60
    DotNetBar
    0.60
     plastic
    0.58
    ewoo
    0.58
     PLASTIC
    0.57
     Plastik
    0.56
     teflon
    0.55
     Teflon
    0.53
    Activations Density 0.984%

    No Known Activations