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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 4527
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    Explanations

    technical terms related to tire maintenance and structure

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

    mentions of tires and their technical components or properties.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.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
    StoryboardSegue
    -0.49
     invokingState
    -0.49
    ➟
    -0.45
     صوتيه
    -0.45
    parsedMessage
    -0.45
     Obrador
    -0.44
     NSCoder
    -0.43
     فريبيس
    -0.43
     surla
    -0.41
     okuyayım
    -0.39
    POSITIVE LOGITS
     tires
    1.77
     tire
    1.64
     tyres
    1.62
     Tires
    1.53
     tyre
    1.52
     Tire
    1.45
     wheels
    1.41
    Tire
    1.39
    Tires
    1.34
    tires
    1.27
    Activations Density 0.145%

    No Known Activations