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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 963
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    text related to demographics and locations, specifically towns and cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.65
     незавершена
    -0.61
     estekak
    -0.58
    المناصب
    -0.54
     invokingState
    -0.52
     Italijani
    -0.50
    
    -0.49
    <?
    -0.49
    transQ
    -0.48
    PreInfinity
    -0.48
    POSITIVE LOGITS
     town
    2.88
     towns
    2.38
     TOWN
    2.00
     Town
    1.92
    town
    1.83
    Town
    1.80
    towns
    1.72
     village
    1.63
    TOWN
    1.59
     Towns
    1.49
    Activations Density 0.349%

    No Known Activations