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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. 7396
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    INDEX
    Explanations

    references to meeting clients' or customers' specific needs and requirements

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

    "Meet" followed by a need or demand

    np_acts-logits-general · gemini-2.0-flash

    meet needs or demands

    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
    Erreferentziak
    -0.62
    umman
    -0.48
    Contributed
    -0.47
    djangoproject
    -0.47
    ViewController
    -0.47
     initComponents
    -0.45
    ノロ
    -0.44
    chafter
    -0.43
    ništvo
    -0.43
    default
    -0.42
    POSITIVE LOGITS
     needs
    2.53
    needs
    2.17
     Needs
    2.14
     demands
    2.01
     NEEDS
    1.91
    Needs
    1.91
     requirements
    1.89
     besoins
    1.79
     necesidades
    1.72
     Demands
    1.67
    Activations Density 0.335%

    No Known Activations