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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 98498
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    Explanations

    the repetitive usage of the word "there" in various contexts

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

    there followed by existence verbs

    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
     queſta
    -0.66
     CURIAM
    -0.65
    :✨
    -0.64
    UserScript
    -0.63
    󠁿
    -0.61
    parsedMessage
    -0.61
    
    -0.61
     TextInputType
    -0.60
     GenerationType
    -0.60
    征詢我
    -0.59
    POSITIVE LOGITS
     there
    1.13
    there
    0.98
    There
    0.91
     There
    0.83
     THERE
    0.80
    THERE
    0.74
     no
    0.61
     it
    0.60
     theres
    0.59
     they
    0.57
    Activations Density 0.076%

    No Known Activations