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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 5274
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    Explanations

    terms related to focus and prioritization in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Aholisi
    -0.45
     nahilalakip
    -0.42
     výrob
    -0.36
    gemaakt
    -0.36
     jedenfalls
    -0.35
    ()]);
    -0.35
     समीक्षाओं
    -0.34
     pintadas
    -0.33
     zufried
    -0.33
     uitz
    -0.33
    POSITIVE LOGITS
     focus
    0.80
    +:+
    0.75
     uplift
    0.75
     Fokus
    0.73
     lift
    0.71
     fokus
    0.69
    出版年
    0.68
     focussed
    0.67
     emphasis
    0.66
     boost
    0.64
    Activations Density 1.955%

    No Known Activations