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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 9624
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    Explanations

    references to poverty and the impact of microcredit initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     FBI
    -0.39
     Bermuda
    -0.36
     dine
    -0.36
    RestController
    -0.36
    casino
    -0.35
     Justiz
    -0.35
    NewUrlParser
    -0.34
    .'</
    -0.34
     vinos
    -0.34
    Parking
    -0.34
    POSITIVE LOGITS
     poverty
    0.78
    poverty
    0.76
    Poverty
    0.75
     villagers
    0.69
     rural
    0.68
     Rural
    0.68
     Poverty
    0.66
    UNICEF
    0.65
     villages
    0.64
    Rural
    0.64
    Activations Density 0.757%

    No Known Activations