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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 5071
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    references to animals and their characteristics, particularly fur and features related to veterinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Facades
    -0.51
    netbeans
    -0.44
    <i>
    -0.43
    微
    -0.43
    <b>
    -0.42
    kug
    -0.41
    zea
    -0.41
     Cayman
    -0.40
    kadi
    -0.39
     微
    -0.39
    POSITIVE LOGITS
     animal
    1.14
     Animal
    1.03
     rabies
    1.02
    Veter
    1.02
    animal
    1.01
     animals
    0.99
     ANIMAL
    0.99
    Animal
    0.98
     zoo
    0.94
    ANIMAL
    0.94
    Activations Density 0.676%

    No Known Activations