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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 49776
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    Explanations

    numerical data or identifiers related to law enforcement or regulatory contexts

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

    metropolitan police

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     CWE
    -0.39
     Administrativna
    -0.38
    silueta
    -0.38
     silueta
    -0.37
     Numerade
    -0.37
     détail
    -0.36
    Fim
    -0.36
     sabar
    -0.36
     vallée
    -0.36
     détails
    -0.35
    POSITIVE LOGITS
     initComponents
    0.65
    ADELPHIA
    0.59
    AutoScaleMode
    0.57
     Seattle
    0.52
    BASEPATH
    0.51
     Berlin
    0.49
     metropolitan
    0.48
     Toronto
    0.48
    Rptr
    0.48
    ptid
    0.47
    Activations Density 0.005%

    No Known Activations