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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. 5239
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    Explanations

    references to buildings and structures

    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
    XmlAccessorType
    -0.61
    industrial
    -0.45
     industrial
    -0.45
     industriel
    -0.40
    industri
    -0.39
    setVerticalGroup
    -0.38
     industri
    -0.37
     مرئيه
    -0.37
     brilliance
    -0.36
    Totale
    -0.36
    POSITIVE LOGITS
     building
    1.08
     Building
    0.91
    building
    0.88
    Building
    0.88
     BUILDING
    0.85
    BUILDING
    0.74
     surla
    0.64
     للاسماء
    0.53
     constructing
    0.51
     Bldg
    0.48
    Activations Density 0.118%

    No Known Activations