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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9057
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    references to people, particularly in the context of fame and recognition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     désolés
    -0.33
     nakalista
    -0.33
    脚注の使い方
    -0.33
    Aholisi
    -0.33
    Atsauces
    -0.32
    quarelle
    -0.31
    Références
    -0.30
     jederzeit
    -0.30
    modb
    -0.30
    Willing
    -0.30
    POSITIVE LOGITS
     fame
    1.23
     popularity
    1.20
     popularidad
    1.05
     rise
    1.05
     gained
    1.05
     notoriety
    1.05
     gaining
    1.02
     prominence
    0.97
     exploded
    0.96
     breakout
    0.96
    Activations Density 0.414%

    No Known Activations