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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. 12223
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "CAL" or "calibration"

    np_acts-logits-general · gemini-2.0-flash

    calibration and CAL variations

    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
     Ashe
    -0.70
    mybatisplus
    -0.63
     Peirce
    -0.62
     Domínguez
    -0.60
     Dempsey
    -0.57
    Ashe
    -0.57
     Anya
    -0.56
     Shin
    -0.55
     RTX
    -0.55
     shroud
    -0.54
    POSITIVE LOGITS
     CAL
    2.64
     Cal
    2.60
    Cal
    2.60
    CAL
    2.48
     cal
    2.43
    cal
    2.33
     Kal
    2.31
    Kal
    2.20
     kal
    2.11
     calibration
    2.10
    Activations Density 0.356%

    No Known Activations