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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 10907
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    Explanations

    references to different types of fats and their health implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vė
    -0.37
     prieš
    -0.37
     acento
    -0.36
    oOo
    -0.34
     cepillo
    -0.34
     épaules
    -0.32
     susi
    -0.32
     agences
    -0.31
    grunns
    -0.31
    skrift
    -0.31
    POSITIVE LOGITS
     lipids
    0.98
     fatty
    0.98
    Lipid
    0.98
     lipid
    0.98
     Lipid
    0.96
    lipid
    0.93
     fat
    0.92
     Fatty
    0.90
     fats
    0.89
    fat
    0.85
    Activations Density 0.958%

    No Known Activations