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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. 2488
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    Explanations

    references to furniture, particularly couches and chairs, in living spaces

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

    "couch" or "sofa"

    np_acts-logits-general · gemini-2.0-flash

    sofa, couch, furniture

    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
     disambiguazione
    -0.42
     ब्रेकडाउन
    -0.40
    $_['
    -0.35
     שוליים
    -0.34
    DD
    -0.32
    PyExc
    -0.31
    山下
    -0.31
    getDescriptor
    -0.31
     rute
    -0.31
     незавершена
    -0.30
    POSITIVE LOGITS
     sofa
    1.09
     couch
    1.03
     sofas
    0.99
     couches
    0.86
    sofa
    0.83
     lounge
    0.81
     Sofa
    0.80
     lounges
    0.77
    couch
    0.77
    Sofa
    0.77
    Activations Density 0.130%

    No Known Activations