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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 107426
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    Explanations

    specific terms related to locomotives and marine vessels

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

    motor vehicles and aircraft

    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
    RegressionTest
    -0.44
    GeneratedCode
    -0.42
     yyr
    -0.41
     оригіналу
    -0.40
    writing
    -0.36
     resourceCulture
    -0.36
    clip
    -0.35
     Hinsicht
    -0.35
    topped
    -0.35
    
    -0.34
    POSITIVE LOGITS
    GEBURTSDATUM
    0.79
    Obrázky
    0.55
    Personensuche
    0.55
    
    0.50
     []:
    0.50
     Biôgrafia
    0.50
    createCanvas
    0.48
    쩔
    0.47
    LookAnd
    0.46
    estacks
    0.45
    Activations Density 0.061%

    No Known Activations