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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 5035
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    Explanations

    phrases related to automotive design and aesthetics

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

    adjectives describing aesthetic qualities or visual appearance of objects.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou

    descriptive language about aesthetic qualities, design features, and finishes in product descriptions.

    oai_token-act-pair · claude-4-5-sonnetTriggered by @jyhe0408

    promotional descriptions that emphasize visual aesthetics and premium styling, especially phrases about look, finish, elegance, and added design touches.

    oai_token-act-pair · gpt-5Triggered by @jyhe0408
    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
    
    -0.76
     NSCoder
    -0.49
    XmlAccessorType
    -0.49
     sukienka
    -0.48
     nonUne
    -0.47
    mybatisplus
    -0.46
    httphttps
    -0.46
     podjet
    -0.45
    LookAnd
    -0.44
     armado
    -0.44
    POSITIVE LOGITS
     rustic
    0.65
     retro
    0.62
     modern
    0.56
     futuristic
    0.56
     clean
    0.56
     look
    0.55
     festive
    0.54
     nautical
    0.53
     sporty
    0.53
     military
    0.53
    Activations Density 0.289%

    No Known Activations