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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 8462
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    Explanations

    references to airports and their associated activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "airport"

    np_acts-logits-general · gemini-2.0-flash

    airport and airports

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RTDA
    -0.41
     AssertionError
    -0.38
    theilung
    -0.37
    tanleria
    -0.36
    GeneratedMessage
    -0.36
    niająca
    -0.35
    glGen
    -0.35
    icleta
    -0.35
     fédé
    -0.34
     NSCoder
    -0.34
    POSITIVE LOGITS
     airport
    1.89
     Airport
    1.69
     airports
    1.57
    airport
    1.56
    Airport
    1.55
     aeropuerto
    1.42
     Flughafen
    1.36
     Airports
    1.36
    机场
    1.26
    空港
    1.24
    Activations Density 0.124%

    No Known Activations