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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 6828
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    Explanations

    references to transportation methods and their logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.67
    orianCalendar
    -0.59
    tagHelperRunner
    -0.59
    脚注の使い方
    -0.58
    antMatchers
    -0.58
    Odkazy
    -0.58
    interopRequire
    -0.54
    WEBPACK
    -0.52
    eward
    -0.52
     ujednoznacz
    -0.51
    POSITIVE LOGITS
     train
    1.05
     bus
    0.94
     trains
    0.85
     plane
    0.85
     public
    0.81
    train
    0.80
     coach
    0.79
     buses
    0.76
     Train
    0.75
    Train
    0.74
    Activations Density 0.246%

    No Known Activations