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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 131k
    9. 24-GEMMASCOPE-RES-131K
    11. 1275
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    INDEX
    Explanations

    references to real estate and personal branding in a promotional context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    real estate agents and brokers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_131k/average_l0_97
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
     pit
    -0.40
     industrielle
    -0.40
     grij
    -0.38
     rodzaj
    -0.38
     nồi
    -0.38
     alimentaria
    -0.38
     industriels
    -0.37
     tinkering
    -0.37
     plek
    -0.36
    élaboration
    -0.35
    POSITIVE LOGITS
     agent
    0.76
     realtor
    0.73
     Agent
    0.71
     Realtor
    0.70
     agents
    0.70
     Agents
    0.68
     salesperson
    0.68
     Broker
    0.67
     brokers
    0.66
     broker
    0.65
    Activations Density 0.014%

    No Known Activations