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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13931
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    terms and titles related to law enforcement personnel and their roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.46
     bureaucrats
    -0.43
     Panchayat
    -0.40
     pancreatic
    -0.39
     government
    -0.38
     Boards
    -0.37
     regulators
    -0.37
    Boards
    -0.37
    Literal
    -0.36
     chieftain
    -0.36
    POSITIVE LOGITS
     crime
    0.62
     Crime
    0.61
     Force
    0.60
     policiales
    0.60
     Police
    0.59
     force
    0.57
    OGND
    0.55
    Police
    0.55
     police
    0.54
    Crime
    0.53
    Activations Density 0.239%

    No Known Activations