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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 11369
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    Explanations

    references to chairs and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.54
    Innovation
    -0.50
     فريبيس
    -0.49
     inwest
    -0.48
     initComponents
    -0.48
    vejec
    -0.48
     intptr
    -0.48
    adaptiveStyles
    -0.48
     Innovation
    -0.48
    parsedMessage
    -0.48
    POSITIVE LOGITS
     chair
    0.72
     chairs
    0.64
    Chair
    0.58
     CHAIR
    0.58
     Chair
    0.58
     History
    0.57
    History
    0.54
    chairs
    0.54
     history
    0.54
     chairmen
    0.54
    Activations Density 0.199%

    No Known Activations