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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3842
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    INDEX
    Explanations

    words and phrases related to professional experience and expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Years of experience

    np_acts-logits-general · gemini-2.0-flash

    vast experience

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.83
    RenderAtEndOf
    -0.80
    AndEndTag
    -0.68
    Obrázky
    -0.62
    textTheme
    -0.53
    rollment
    -0.53
    TextBoxColumn
    -0.53
     onOptions
    -0.52
    LabelTagHelper
    -0.52
     lazily
    -0.52
    POSITIVE LOGITS
     experience
    2.26
    experience
    1.89
     Experience
    1.80
    Experience
    1.78
     EXPERIENCE
    1.73
     expérience
    1.72
     expertise
    1.70
     experiencia
    1.63
     experiência
    1.60
     Erfahrung
    1.58
    Activations Density 0.334%

    No Known Activations