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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 2050
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    Explanations

    the word "Mi" and its variations, indicating a focus on a specific topic or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    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
    -0.46
     vectorielle
    -0.44
    ędzynarod
    -0.43
    ">//
    -0.43
    arrol
    -0.38
    äfte
    -0.37
     estatua
    -0.36
    SharedDtor
    -0.35
     féminine
    -0.35
     Jurí
    -0.35
    POSITIVE LOGITS
     Mi
    2.38
     mi
    2.23
    Mi
    2.20
     MI
    2.11
    mi
    2.08
    MI
    2.05
     ми
    1.71
     Mia
    1.69
     Ми
    1.59
     mie
    1.57
    Activations Density 0.291%

    No Known Activations