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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10217
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    Explanations

    references to notable chefs and their culinary achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
    🥤
    -0.66
    psack
    -0.63
    seling
    -0.59
    ariato
    -0.56
    UpInside
    -0.56
    JAKARTA
    -0.55
    Filmografia
    -0.54
     subgraph
    -0.53
    afone
    -0.53
    withIdentifier
    -0.53
    POSITIVE LOGITS
     Michelin
    1.00
     chef
    0.93
     chefs
    0.91
     Chef
    0.84
    Chef
    0.81
     Chefs
    0.81
    chef
    0.81
     michelin
    0.78
     éto
    0.76
     culinary
    0.72
    Activations Density 0.193%

    No Known Activations