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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 14490
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    Explanations

    instances of the term "face-to-face" in various contexts

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

    "Face" followed by "to"

    np_acts-logits-general · gemini-2.0-flash

    face to face

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chesapeake
    -0.49
     sī
    -0.49
    fohlen
    -0.48
     getItemId
    -0.47
    iecie
    -0.46
     Silber
    -0.46
     Mbps
    -0.45
    rawDesc
    -0.45
    arschu
    -0.45
    ✒
    -0.45
    POSITIVE LOGITS
    tiously
    0.94
    tious
    0.88
    mask
    0.85
    masks
    0.83
     masks
    0.81
     mask
    0.76
     Masks
    0.73
     Face
    0.72
     Mask
    0.69
     faces
    0.68
    Activations Density 0.068%

    No Known Activations