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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 14085
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    Explanations

    terminology related to legal proceedings and negligence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceChecksum
    -0.75
     >=",
    -0.64
    PerformLayout
    -0.59
     considérons
    -0.57
     helst
    -0.54
     <<<<<<<<<<<<<<
    -0.53
    ValueGeneration
    -0.51
    ísticas
    -0.50
    녕
    -0.49
     préférence
    -0.48
    POSITIVE LOGITS
     negligence
    1.07
     negligent
    0.99
     Neg
    0.87
    Neg
    0.84
     neg
    0.79
    neg
    0.75
     tort
    0.73
     negli
    0.66
     nég
    0.65
     duty
    0.64
    Activations Density 1.651%

    No Known Activations