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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12733
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    INDEX
    Explanations

    references to expertise or experts in various contexts

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

    "expert" or "experts"

    np_acts-logits-general · gemini-2.0-flash

    expert opinions and roles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
     Discharge
    -0.53
     cauſe
    -0.48
     skateboard
    -0.47
     Schild
    -0.47
     Relational
    -0.47
    Cause
    -0.47
     Boat
    -0.47
    Discharge
    -0.47
     Sinus
    -0.46
    zucker
    -0.46
    POSITIVE LOGITS
     Experts
    0.88
     Expert
    0.86
     expert
    0.83
     experts
    0.83
     EXPERT
    0.81
    Experts
    0.80
    Expert
    0.75
    experts
    0.75
    expert
    0.73
     ahli
    0.71
    Activations Density 0.289%

    No Known Activations