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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 13400
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    Explanations

    terms related to crimes and criminal actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.66
    LDR
    -0.60
    èves
    -0.58
     verloren
    -0.58
    NewReader
    -0.57
     Wrang
    -0.56
    Estr
    -0.56
     styr
    -0.54
     mahogany
    -0.54
    ldr
    -0.54
    POSITIVE LOGITS
     crimes
    1.29
     Crimes
    1.23
     crime
    1.20
     Crime
    1.13
    Crime
    1.07
     CRIME
    1.05
    crimes
    1.02
     offence
    0.96
     offenses
    0.96
     punishable
    0.95
    Activations Density 0.222%

    No Known Activations