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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15396
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    terms related to nutritional deficiencies and their impact on populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Berliner
    -0.51
     اصفه
    -0.48
     Parisian
    -0.48
     петербург
    -0.46
     Florentine
    -0.46
     Rican
    -0.44
    gbaar
    -0.44
     Privacidad
    -0.43
    hoedd
    -0.42
    ntgen
    -0.42
    POSITIVE LOGITS
     India
    1.82
     Australia
    1.79
     Canada
    1.76
     Germany
    1.72
     Italy
    1.70
     Nigeria
    1.70
     Ireland
    1.65
     France
    1.61
     Indonesia
    1.59
     Japan
    1.58
    Activations Density 1.811%

    No Known Activations