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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2823
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    Explanations

    references to shopping malls and retail spaces

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

    shopping centers or malls

    np_acts-logits-general · gemini-2.0-flash

    shopping malls and centres

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fır
    -0.34
     Noble
    -0.33
    értel
    -0.31
     Fall
    -0.31
    Noble
    -0.30
    ěk
    -0.29
    giène
    -0.29
     сливо
    -0.28
    verwijspagina
    -0.28
    wijs
    -0.28
    POSITIVE LOGITS
     mall
    1.10
     malls
    1.05
     Mall
    0.93
     shopping
    0.90
     MALL
    0.88
    Mall
    0.84
     SHOPPING
    0.82
     Shopping
    0.80
    mall
    0.79
    shopping
    0.76
    Activations Density 0.113%

    No Known Activations