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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7161
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    references to cities and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    complexContent
    -1.08
     myſelf
    -1.04
     themſelves
    -1.03
    tagHelperRunner
    -0.97
    parsedMessage
    -0.93
     Monfieur
    -0.84
     pleaſure
    -0.83
    цездатний
    -0.82
    UrlResolution
    -0.81
     Efq
    -0.81
    POSITIVE LOGITS
     city
    3.61
     City
    3.14
    city
    2.98
     CITY
    2.92
    City
    2.85
    CITY
    2.65
     cities
    2.55
    cities
    2.17
     ciudad
    2.17
     Cities
    2.12
    Activations Density 0.056%

    No Known Activations