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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11088
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    conversational language, particularly in dialogue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nuanced
    -0.65
     bestie
    -0.63
     relatable
    -0.60
     nuance
    -0.57
     vibe
    -0.57
     impactful
    -0.56
     incentiv
    -0.56
     curated
    -0.56
     prioriti
    -0.56
     overarching
    -0.55
    POSITIVE LOGITS
    faßt
    0.70
     muß
    0.69
     wußte
    0.66
     wuß
    0.65
     müßte
    0.57
    ftagPool
    0.55
     Daß
    0.54
    ParallelGroup
    0.50
     läßt
    0.47
     skall
    0.47
    Activations Density 0.717%

    No Known Activations