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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3334
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    INDEX
    Explanations

    references to building renovations and historical refurbishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    about building improvements

    np_acts-logits-general · gemini-2.0-flash

    building renovation and restoration

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorTagHelper
    -0.43
    wüns
    -0.41
    hasMoreElements
    -0.40
    akaian
    -0.38
     תפ
    -0.37
    +:+
    -0.36
     Pakai
    -0.35
    SizeMode
    -0.35
     Morgen
    -0.35
     velkommen
    -0.35
    POSITIVE LOGITS
     refurbishment
    0.85
     refurb
    0.84
     renovation
    0.83
     overhaul
    0.82
     renovations
    0.81
     rebuild
    0.76
     refurbished
    0.75
     rebuilt
    0.72
     facelift
    0.72
     rebuilding
    0.71
    Activations Density 0.177%

    No Known Activations