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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 9994
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    Explanations

    references to police actions and incidents related to law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.54
    esModule
    -0.47
     prés
    -0.46
     sac
    -0.45
    peti
    -0.45
     ddelweddau
    -0.44
     wirk
    -0.44
    byter
    -0.43
    TargetException
    -0.42
    Cana
    -0.42
    POSITIVE LOGITS
     police
    1.65
     Police
    1.55
    Police
    1.52
     cops
    1.50
    police
    1.48
     POLICE
    1.41
     policing
    1.39
     policemen
    1.38
     Cops
    1.34
     policeman
    1.34
    Activations Density 0.824%

    No Known Activations