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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4878
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    Explanations

    references to crime and criminality, particularly involving addiction, violence, and specific criminal acts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.52
    Victim
    -0.50
    victim
    -0.47
    govina
    -0.46
    KommentareTeilen
    -0.45
     Victim
    -0.44
    yntaxException
    -0.44
    Rüyada
    -0.43
    WebVitals
    -0.42
     Biôgrafia
    -0.42
    POSITIVE LOGITS
     criminals
    1.20
     offenders
    1.06
     culprits
    1.02
     perpetrators
    1.02
     villains
    0.93
     thieves
    0.92
     offender
    0.92
     suspects
    0.89
     culprit
    0.88
     murderers
    0.88
    Activations Density 0.844%

    No Known Activations