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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 15-GEMMASCOPE-RES-16K
    6. 5840
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    Explanations

    references to routine or regular occurrences, particularly in the context of health and lifestyle

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pecabe
    -0.85
    berdayakan
    -0.74
     Inscrivez
    -0.69
     térmico
    -0.69
     maternidade
    -0.67
     Desenvolvimento
    -0.65
    antaranya
    -0.65
     Pandemie
    -0.65
    InjectMocks
    -0.64
    envolvimento
    -0.64
    POSITIVE LOGITS
    regular
    1.26
    Regular
    1.23
     regular
    1.22
     REGULAR
    1.19
     Regular
    1.19
    REGULAR
    1.09
     regularly
    0.88
     normal
    0.80
    normal
    0.79
     Regularly
    0.79
    Activations Density 0.188%

    No Known Activations