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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 99233
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    Explanations

    references to various types of leather and its applications in furniture and car interiors

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

    leather seats and professor chair

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    -0.58
    XmlAccessType
    -0.55
    CodedInputStream
    -0.51
    JspWriter
    -0.51
     initComponents
    -0.50
     handleMessage
    -0.45
    ſelves
    -0.45
     ſche
    -0.44
    parsedMessage
    -0.44
     ActionListener
    -0.44
    POSITIVE LOGITS
     chair
    0.68
    Chair
    0.68
     Chair
    0.66
     seat
    0.60
     seats
    0.59
     chairs
    0.56
     armchair
    0.56
    chair
    0.55
     kursi
    0.55
    seat
    0.53
    Activations Density 0.054%

    No Known Activations