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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 13276
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    INDEX
    Explanations

    references to specific brands or models, particularly related to cars

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

    "Ram" or misspellings/variations of it

    np_acts-logits-general · gemini-2.0-flash

    Dodge Ram and car models

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.90
    下载附件
    -0.78
     Wikimedijinoj
    -0.71
    sizeCache
    -0.67
    MessageTagHelper
    -0.65
    Portale
    -0.65
    MLLoader
    -0.64
    ########.
    -0.64
     StringTokenizer
    -0.64
     متعلقه
    -0.63
    POSITIVE LOGITS
     Ram
    1.12
    Ram
    0.96
     ram
    0.91
     RAM
    0.79
    ram
    0.75
     Dodge
    0.71
     Rama
    0.68
     Chrysler
    0.67
     rams
    0.67
    RAM
    0.66
    Activations Density 0.184%

    No Known Activations