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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 24953
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    Explanations

    terms related to particle filtering and smoothing techniques in statistical models

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

    Kalman filter smoothing

    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
    سا
    -0.36
     instructing
    -0.36
    pillow
    -0.35
     thủ
    -0.33
    gig
    -0.33
    ocino
    -0.32
    cotton
    -0.32
     schauen
    -0.32
    वल
    -0.32
     lähe
    -0.32
    POSITIVE LOGITS
     Kalman
    0.76
     filter
    0.61
     fusion
    0.60
     Filter
    0.55
     Fusion
    0.54
     fused
    0.54
     AssemblyTitle
    0.52
     jsPsych
    0.52
     filtering
    0.52
     filters
    0.52
    Activations Density 0.198%

    No Known Activations