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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6257
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    Explanations

    references to fat or obesity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     much
    -0.46
    much
    -0.41
    Doc
    -0.41
     Fair
    -0.41
     Pref
    -0.40
     construction
    -0.40
     Fairy
    -0.40
    Fair
    -0.40
     Chall
    -0.40
     Dem
    -0.40
    POSITIVE LOGITS
     fat
    2.56
     Fat
    2.17
    Fat
    2.16
    fat
    2.06
    FAT
    1.55
     FAT
    1.55
     fats
    1.47
     grasa
    1.41
     gordura
    1.32
     Fats
    1.27
    Activations Density 0.096%

    No Known Activations