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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 1692
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    Explanations

    mentions of the word "car" in various forms and contexts

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

    Token "Car"

    np_acts-logits-general · gemini-2.0-flash

    car

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONAUT
    -0.59
    printLine
    -0.58
    ništ
    -0.57
    書館
    -0.56
    orteur
    -0.55
    Santis
    -0.54
    jScrollPane
    -0.54
    ectady
    -0.54
     AdapterView
    -0.53
     stiller
    -0.51
    POSITIVE LOGITS
    脚注の使い方
    0.51
     Car
    0.46
    protoimpl
    0.45
    Car
    0.45
    car
    0.45
     Ngb
    0.43
     car
    0.43
     carottes
    0.43
    saraba
    0.43
     carers
    0.42
    Activations Density 0.106%

    No Known Activations