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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10238
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    Explanations

    references to hotels and lodging experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.49
    expandindo
    -0.47
    contentLoaded
    -0.43
     intStringLen
    -0.43
     <>",
    -0.42
     protoimpl
    -0.42
    Tops
    -0.41
    
    -0.41
    ophosph
    -0.40
     hObject
    -0.40
    POSITIVE LOGITS
     hotel
    0.89
    hotel
    0.72
    Hotel
    0.70
     hotels
    0.70
     hote
    0.68
     Hotel
    0.68
     отеля
    0.66
     HOTEL
    0.65
     отель
    0.63
     Hotels
    0.60
    Activations Density 0.110%

    No Known Activations