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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14433
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    Explanations

    specific models and features of Volkswagen vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     boats
    -0.61
    boats
    -0.58
     boat
    -0.57
    boat
    -0.56
    Boats
    -0.55
     Boats
    -0.53
    Boat
    -0.52
     Boat
    -0.49
     ships
    -0.48
     boating
    -0.46
    POSITIVE LOGITS
    脚注の使い方
    0.54
     utility
    0.52
     intptr
    0.50
     van
    0.50
     passenger
    0.49
    twimg
    0.49
     Liefer
    0.47
    SaveVideo
    0.47
     Utility
    0.47
     VAN
    0.47
    Activations Density 0.345%

    No Known Activations