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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. 35306
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    INDEX
    Explanations

    mentions of specific car models and their features

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

    car makes and models

    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
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.88
     disambiguazione
    -0.81
    ValueStyle
    -0.76
    AnchorStyles
    -0.69
    expandindo
    -0.66
    MessageTagHelper
    -0.63
     Autorizaciones
    -0.63
     HasFactory
    -0.63
     resourceCulture
    -0.63
     defaultstate
    -0.62
    POSITIVE LOGITS
     Hyundai
    0.47
     Honda
    0.47
     Skoda
    0.46
     Toyota
    0.46
     car
    0.45
    Hyundai
    0.44
     Kia
    0.43
     Passat
    0.41
    Honda
    0.41
     Nissan
    0.40
    Activations Density 0.052%

    No Known Activations