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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4135
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    Explanations

    references to airports and their usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     demografica
    -0.48
    ulemon
    -0.45
    intervento
    -0.44
    fjspx
    -0.44
    æde
    -0.44
    parsedMessage
    -0.43
    kmale
    -0.43
     CURIAM
    -0.42
     NSCoder
    -0.41
    وعة
    -0.41
    POSITIVE LOGITS
     airport
    0.78
    airport
    0.76
     airports
    0.75
     Airport
    0.73
    Airport
    0.72
     Airports
    0.63
     Flughafen
    0.59
    机场
    0.57
     terminal
    0.56
    facility
    0.55
    Activations Density 0.158%

    No Known Activations