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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7309
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    phrases related to resource allocation and targeting efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quelize
    -0.40
     싶
    -0.37
    cerpt
    -0.36
    steady
    -0.35
     Kline
    -0.35
     fréquent
    -0.34
    IsOpen
    -0.34
     arşivlendi
    -0.34
    recovery
    -0.34
    autonomous
    -0.33
    POSITIVE LOGITS
     focussed
    0.79
     focused
    0.78
     attention
    0.78
     focus
    0.77
     focussing
    0.68
    fjspx
    0.68
     focusing
    0.66
     concentrated
    0.65
     concentrate
    0.63
     focuses
    0.63
    Activations Density 0.240%

    No Known Activations