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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7012
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    Explanations

    references to furniture and software

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    概述
    -0.41
     Fong
    -0.38
     Lombardi
    -0.37
    matchCondition
    -0.37
     acid
    -0.36
     OVERVIEW
    -0.36
     zau
    -0.36
    请
    -0.35
    جوايز
    -0.35
    hasRole
    -0.35
    POSITIVE LOGITS
     furniture
    1.45
    furniture
    1.34
     Furniture
    1.29
    Furniture
    1.20
     FURNITURE
    1.17
     meubles
    1.00
     clothing
    0.98
     jewelry
    0.93
     toys
    0.91
     jewellery
    0.91
    Activations Density 0.062%

    No Known Activations