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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. 19781
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    Explanations

    instances of the name "Tom" in various contexts

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

    the name tom

    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
     betweenstory
    -0.59
    encils
    -0.51
     sanitarias
    -0.50
     />';
    -0.46
     culturelle
    -0.46
     strdup
    -0.45
    gravel
    -0.45
    ffiti
    -0.44
     szép
    -0.44
    ereal
    -0.43
    POSITIVE LOGITS
    Tom
    2.13
     Tom
    2.13
     tom
    2.05
     TOM
    1.84
    tom
    1.80
    TOM
    1.76
     Toms
    1.62
     Том
    1.27
    toms
    1.26
    トム
    1.25
    Activations Density 0.009%

    No Known Activations