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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7392
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    Explanations

    names of people and specific references in text

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

    before surnames or last names

    np_acts-logits-general · gemini-2.0-flash

    Bale, Sne, Kag, Kessler, Flam, Pest, Bier, Wahl, Ehr

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.74
     nahilalakip
    -0.65
     <<<<<<<<<<<<<<
    -0.64
     AssemblyTitle
    -0.56
    دانشنامهٔ
    -0.55
     للاسماء
    -0.53
    ########.
    -0.53
    Portale
    -0.52
     damskie
    -0.51
    AxisAlignment
    -0.50
    POSITIVE LOGITS
    الدراسه
    0.48
     Juventus
    0.47
     McClure
    0.45
    Juventus
    0.44
    Kag
    0.44
     Kag
    0.44
     obfer
    0.44
     Fé
    0.43
    Drawable
    0.43
     selected
    0.43
    Activations Density 1.554%

    No Known Activations