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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 13743
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    Explanations

    references to downtown areas and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    تقاوى
    -0.47
    })));
    -0.42
    spesies
    -0.41
    Posté
    -0.40
     Lampung
    -0.38
    êtement
    -0.37
    hdys
    -0.37
    lück
    -0.37
    Copy
    -0.36
     fieldNum
    -0.36
    POSITIVE LOGITS
     downtown
    1.07
    Downtown
    1.00
    downtown
    0.98
     Downtown
    0.95
     Innenstadt
    0.71
     CreateTagHelper
    0.54
     Altstadt
    0.51
     city
    0.46
    balleur
    0.46
    OrNil
    0.46
    Activations Density 0.162%

    No Known Activations