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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9340
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    INDEX
    Explanations

    phrases related to the concept of being lean or thin

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ChromeDriver
    -0.66
    esModule
    -0.66
    djangoproject
    -0.64
    AddHtmlAttribute
    -0.63
     betweenstory
    -0.62
    தல்
    -0.62
     Astor
    -0.61
    empêcher
    -0.61
    ClCompile
    -0.60
    psons
    -0.60
    POSITIVE LOGITS
     lean
    3.02
     Lean
    2.79
    Lean
    2.75
    lean
    2.45
     leans
    2.41
     leaning
    2.39
     leaned
    2.27
    LEAN
    2.07
    leaning
    1.93
    leaner
    1.48
    Activations Density 0.063%

    No Known Activations