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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 12753
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    Explanations

    references to specific types of food and cooking processes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     poussière
    -0.38
     sucre
    -0.37
    Rev
    -0.36
     bardak
    -0.36
    Seed
    -0.36
     Broadcast
    -0.35
    Sugar
    -0.35
     glaucoma
    -0.35
     compositor
    -0.34
     fauteuil
    -0.34
    POSITIVE LOGITS
     meat
    1.13
     Meat
    0.96
    meat
    0.92
    Meat
    0.91
     MEAT
    0.91
     vlees
    0.90
     daging
    0.90
     meats
    0.87
     butcher
    0.87
     viande
    0.82
    Activations Density 0.234%

    No Known Activations