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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 30-GEMMASCOPE-RES-16K
    6. 15654
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    INDEX
    Explanations

    names of people and their roles or relevance within a legal context

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

    Surnames, often ending in -er, -or, or -ck

    np_acts-logits-general · gemini-2.0-flash

    surname endings

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    GEBURTSDATUM
    -0.66
     ujednoznacz
    -0.58
     teórico
    -0.56
     redacción
    -0.55
     ciudadano
    -0.53
     betweenstory
    -0.50
     Baillargeon
    -0.50
    principalColumn
    -0.50
    transQ
    -0.50
     asesino
    -0.49
    POSITIVE LOGITS
    field
    0.63
    ley
    0.59
    all
    0.50
    ford
    0.49
    ham
    0.46
    meyer
    0.45
    han
    0.45
    enough
    0.45
    wood
    0.44
    ridge
    0.44
    Activations Density 0.555%

    No Known Activations