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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 6174
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    INDEX
    Explanations

    references to practice and improvement in various skills and abilities

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

    following verbs related to self-improvement

    np_acts-logits-general · gemini-2.0-flash

    improving skills and growth

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oprot
    -0.67
    aarrggbb
    -0.62
     defaultstate
    -0.60
    Tikang
    -0.59
     NSCoder
    -0.57
    hematical
    -0.57
    UnusedPrivate
    -0.56
     ProtoMessage
    -0.56
    bootstrapcdn
    -0.56
    новништво
    -0.55
    POSITIVE LOGITS
     developing
    0.52
    training
    0.51
     honing
    0.51
     training
    0.48
     develops
    0.47
     develop
    0.47
     grooming
    0.45
    Develop
    0.43
    Training
    0.43
     Ausbau
    0.43
    Activations Density 0.271%

    No Known Activations