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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. 7877
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    descriptions of vehicles associated with specific incidents

    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
     Roskov
    -1.03
    +:+
    -0.93
    Personendaten
    -0.92
     beginnetje
    -0.89
    脚注の使い方
    -0.81
    ########.
    -0.80
    SharedDtor
    -0.77
    CompleteListener
    -0.74
     jScrollPane
    -0.73
    featureID
    -0.72
    POSITIVE LOGITS
     male
    1.45
     female
    1.44
     Female
    1.27
    Female
    1.24
    Male
    1.23
     Male
    1.18
    female
    1.18
    male
    1.18
     females
    1.09
     FEMALE
    1.09
    Activations Density 0.382%

    No Known Activations