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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 15094
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    Explanations

    references to fat or obesity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
     betweenstory
    -0.55
     InputDecoration
    -0.48
    retudo
    -0.42
     golpea
    -0.41
    printStackTrace
    -0.41
     betont
    -0.41
     antidesliz
    -0.40
     disambiguazione
    -0.40
     artikke
    -0.40
     pysty
    -0.39
    POSITIVE LOGITS
    Fat
    0.98
     Fat
    0.96
     fat
    0.93
    fat
    0.88
     FAT
    0.82
    FAT
    0.76
    wp
    0.73
     ranking
    0.66
     AssemblyCompany
    0.64
    Optim
    0.63
    Activations Density 0.098%

    No Known Activations