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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 81207
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    Explanations

    groups of characters or identifiers associated with various topics, including cars, biomarkers, and names in scientific contexts

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

    N

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    which
    -0.47
     tarko
    -0.46
     оригіналу
    -0.46
     Infatti
    -0.43
     nämlich
    -0.42
     which
    -0.41
     toimi
    -0.41
     bowiem
    -0.40
     mahdol
    -0.40
    ՝
    -0.39
    POSITIVE LOGITS
     etc
    0.65
    évaluateur
    0.61
     itd
    0.61
    などなど
    0.58
    等等
    0.56
     myſelf
    0.55
    BibitemShut
    0.53
     itp
    0.52
    parsedMessage
    0.52
    ंदीखरीदारी
    0.51
    Activations Density 0.047%

    No Known Activations