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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9291
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    INDEX
    Explanations

    occurrences of the word "in" and other prepositions, indicating a focus on relational or contextual terms in programming

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

    Prepositions such as "in," "at," "from," and "by."

    np_acts-logits-general · gemini-2.0-flash

    or at least

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Not in Any Lists

    No Comments

    Negative Logits
     ſind
    -0.75
    ésultats
    -0.74
     laſſen
    -0.73
     AssemblyProduct
    -0.73
    genodigd
    -0.73
     müſſen
    -0.70
     miniaturka
    -0.69
    majánló
    -0.68
     HasFactory
    -0.67
     semelh
    -0.65
    POSITIVE LOGITS
     In
    0.52
    for
    0.51
    ,
    0.51
     IN
    0.51
     On
    0.51
    from
    0.50
     on
    0.49
     Withers
    0.48
    In
    0.47
    -
    0.47
    Activations Density 0.639%

    No Known Activations