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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3422
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    Explanations

    references to wildlife and ecological studies

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    
    -0.65
    Ārējās
    -0.51
    Titanic
    -0.48
     Titanic
    -0.47
    titanic
    -0.45
    ladiator
    -0.45
    цездатний
    -0.45
    
    -0.44
    Bull
    -0.44
    Demografie
    -0.44
    POSITIVE LOGITS
     rodent
    0.89
     rodents
    0.82
     rabbit
    0.82
     rat
    0.81
     squirrel
    0.80
     fur
    0.79
     furry
    0.77
     raccoon
    0.77
     squirrels
    0.75
     Rabbit
    0.74
    Activations Density 0.262%

    No Known Activations