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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 13773
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    references to urban development and infrastructure changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ExtendWith
    -0.40
     Swansea
    -0.39
    //
    -0.37
     Armenian
    -0.37
    PENDAHULUAN
    -0.36
     Kochi
    -0.35
     Läng
    -0.35
     Somerset
    -0.35
    Armen
    -0.35
     coster
    -0.34
    POSITIVE LOGITS
     UP
    0.78
     مشين
    0.74
     Uttar
    0.73
     Allahabad
    0.65
     Pray
    0.64
     Lucknow
    0.64
     Kanpur
    0.63
     UPM
    0.63
     Varanasi
    0.61
     Agra
    0.59
    Activations Density 0.205%

    No Known Activations