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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. 1500
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    terms related to positive and negative attributes or outcomes

    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
     trône
    -0.38
    rus
    -0.38
    iconque
    -0.38
     useParams
    -0.38
     méd
    -0.37
    ájá
    -0.37
    Pozri
    -0.36
    RTEE
    -0.36
    jang
    -0.35
    chom
    -0.35
    POSITIVE LOGITS
     feedback
    0.63
    Negative
    0.60
     sentiment
    0.57
     (+)
    0.57
     impact
    0.57
     vibes
    0.56
     Negative
    0.55
     neg
    0.54
     Neg
    0.54
     reinforcement
    0.54
    Activations Density 0.274%

    No Known Activations