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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 7778
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    Explanations

    references to crimes and their moral implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MethodManager
    -0.52
     poveznice
    -0.49
     delantera
    -0.47
     Ausrüstung
    -0.46
     विश्वसनीयता
    -0.46
     dianteira
    -0.46
     souple
    -0.45
     Inscrivez
    -0.44
     Stimme
    -0.43
    Tikang
    -0.43
    POSITIVE LOGITS
     crimes
    0.90
     committed
    0.86
     crime
    0.83
     acts
    0.78
     Crimes
    0.73
     offences
    0.71
    crimes
    0.70
    committed
    0.68
     commit
    0.66
     offenses
    0.65
    Activations Density 0.444%

    No Known Activations