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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15657
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    Explanations

    terms and phrases related to medical or clinical contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Tokens preceding "marks" or "marking"

    np_acts-logits-general · gemini-2.0-flash

    marking milestones

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    chmal
    -0.27
     Dabei
    -0.27
    就有
    -0.26
     dolayı
    -0.26
    getenv
    -0.25
    原來
    -0.25
     boyunca
    -0.25
     letteratura
    -0.24
     compéti
    -0.24
     gyhoeddwyd
    -0.24
    POSITIVE LOGITS
     marks
    2.30
     marking
    2.05
    marks
    1.85
    marking
    1.77
     mark
    1.74
     marked
    1.73
     MARKS
    1.67
     Marking
    1.63
    Marking
    1.58
    marked
    1.55
    Activations Density 0.373%

    No Known Activations