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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4024
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    Explanations

    semicolon usage in programming or code structures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Tikang
    -0.45
     BioLib
    -0.43
     betweenstory
    -0.41
     volantes
    -0.40
     voulons
    -0.40
     bisous
    -0.40
     immediate
    -0.40
     paix
    -0.40
    immediate
    -0.39
     ferons
    -0.39
    POSITIVE LOGITS
    makeText
    0.63
     kasarigan
    0.47
    вгений
    0.46
    Życiorys
    0.46
    endphp
    0.45
    didSet
    0.45
     <",
    0.44
     Roswell
    0.44
     Infórmanos
    0.44
    帖最后由
    0.43
    Activations Density 0.068%

    No Known Activations