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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 7671
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    Explanations

    references to murders and violent crimes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.60
    RefNanny
    -0.52
     disambiguazione
    -0.47
    HandlerContext
    -0.46
    intios
    -0.45
    Réalisation
    -0.42
     BoxFit
    -0.39
     ujednoznacz
    -0.39
    awtextra
    -0.39
    yntaxException
    -0.39
    POSITIVE LOGITS
     criminals
    1.39
     culprits
    1.26
     perpetrators
    1.22
     offenders
    1.20
     villains
    1.17
     culprit
    1.12
     offender
    1.10
     perpetrator
    1.09
     thieves
    1.05
     villain
    1.04
    Activations Density 0.836%

    No Known Activations