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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 3638
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    terms related to customer interactions and satisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    findpost
    -0.68
    setVerticalGroup
    -0.63
     EconPapers
    -0.50
    WebServlet
    -0.47
    CppMethod
    -0.46
     '\\;'
    -0.46
    haikusbot
    -0.45
    SBATCH
    -0.43
    writeFieldEnd
    -0.43
    fycat
    -0.43
    POSITIVE LOGITS
     satisfaction
    0.86
     relations
    0.71
     facing
    0.69
     Satisfaction
    0.69
     Relations
    0.65
    facing
    0.62
    relations
    0.61
     Facing
    0.60
     RELATIONS
    0.60
     centric
    0.60
    Activations Density 0.355%

    No Known Activations