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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 10257
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    INDEX
    Explanations

    references to Volkswagen vehicles and related technical terms

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

    Volkswagen vehicles and transmissions

    np_acts-logits-general · gemini-2.0-flash

    Volkswagen car models

    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
     myſelf
    -0.80
    +#+#
    -0.80
     تانيه
    -0.77
    kuuta
    -0.77
     corvette
    -0.76
     дописавши
    -0.75
     Majefty
    -0.71
    ########.
    -0.71
     themſelves
    -0.70
     ſeveral
    -0.70
    POSITIVE LOGITS
     Golf
    0.60
     Focus
    0.54
     hatch
    0.49
    Focus
    0.48
     Break
    0.46
     Polo
    0.46
    Octa
    0.46
     Face
    0.46
     Turnier
    0.46
     break
    0.45
    Activations Density 0.204%

    No Known Activations