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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10554
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    Explanations

    specific culinary terms and dishes related to seafood and Asian cuisines

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    FromNib
    -0.42
    飴
    -0.38
    terscotch
    -0.37
     נו
    -0.37
     chré
    -0.36
    enfone
    -0.36
     Excelsior
    -0.36
    TextField
    -0.36
     הנו
    -0.36
     Sugar
    -0.35
    POSITIVE LOGITS
     fish
    1.25
     seafood
    1.18
     salmon
    1.09
    fish
    1.07
    Fish
    1.01
     Seafood
    1.01
     Salmon
    0.98
     tuna
    0.98
     Fish
    0.97
    Salmon
    0.95
    Activations Density 0.168%

    No Known Activations