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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11307
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    Explanations

    different types of hats and headwear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    __":
    -0.45
    __':
    -0.35
    __":
    -0.33
    abbix
    -0.27
     contextLoads
    -0.27
    gebnisse
    -0.27
     NSCoder
    -0.27
    __':
    -0.26
     Arjuna
    -0.25
     Novgorod
    -0.25
    POSITIVE LOGITS
     hats
    1.02
     hat
    0.97
     Hats
    0.96
    Hats
    0.93
    帽子
    0.85
     Hat
    0.85
    Hat
    0.85
     gorra
    0.84
    帽
    0.81
    hats
    0.78
    Activations Density 0.108%

    No Known Activations