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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 12131
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    Explanations

    references to different types of meat and meat products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Frö
    -0.47
     Visitor
    -0.43
     Charter
    -0.42
    施
    -0.42
     Compro
    -0.42
     learning
    -0.41
     ILL
    -0.41
     Goodwin
    -0.40
     fostering
    -0.40
     photon
    -0.40
    POSITIVE LOGITS
     meat
    1.34
    Meat
    1.18
     MEAT
    1.16
    meat
    1.16
     Meat
    1.16
     meats
    1.09
     viande
    1.04
    beef
    1.00
     daging
    1.00
     beef
    0.97
    Activations Density 0.071%

    No Known Activations