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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 61605
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    INDEX
    Explanations

    references to protective equipment and medical attire

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

    putting on clothes or gear

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.63
     kasarigan
    -0.60
     ujednoznacz
    -0.54
    ⓧ
    -0.51
    tvguidetime
    -0.49
     utafitiHapana
    -0.49
     Numerade
    -0.49
    RegressionTest
    -0.49
     Eraser
    -0.48
     Мексичка
    -0.48
    POSITIVE LOGITS
     vestir
    0.49
     indoss
    0.43
    穿上
    0.43
     donned
    0.42
     slip
    0.41
    装
    0.40
    awaiter
    0.40
     dressing
    0.40
     install
    0.38
     into
    0.37
    Activations Density 0.066%

    No Known Activations