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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 124122
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    Explanations

    various types of specialized terminology, particularly in scientific and technical contexts

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

    chemical and medical terms

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.68
    mpagne
    -0.60
     autorytatywna
    -0.56
     ſondern
    -0.56
     يتيمه
    -0.56
    ésultats
    -0.55
    iſchen
    -0.54
     müſſen
    -0.54
     resourceCulture
    -0.54
    Klass
    -0.53
    POSITIVE LOGITS
     térmico
    0.47
     térm
    0.46
    inerja
    0.39
     térmica
    0.39
     especialistas
    0.35
     estratég
    0.34
     carbono
    0.34
    OrWhiteSpace
    0.34
     nutricional
    0.33
     especialista
    0.33
    Activations Density 0.041%

    No Known Activations