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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 6814
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    proper nouns related to names and specific entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    proper nouns or specific names related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Macle
    -0.88
     UnityEditor
    -0.86
    PhysRevD
    -0.79
     Maja
    -0.74
     Peta
    -0.74
     codecs
    -0.74
     USP
    -0.72
    ropractor
    -0.72
    erevan
    -0.72
     Gleaner
    -0.72
    POSITIVE LOGITS
     Nanda
    0.86
    ANG
    0.86
     ANG
    0.85
     ank
    0.78
    pand
    0.77
     Pang
    0.77
     Hank
    0.75
     Ank
    0.75
    ang
    0.74
    Kang
    0.74
    Activations Density 3.687%

    No Known Activations