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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. 6067
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    Explanations

    terms and expressions related to communication and discourse in policy and health contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     muß
    -0.72
     Moslem
    -0.61
     mußten
    -0.60
     mußte
    -0.59
    faßt
    -0.56
     skall
    -0.52
     läßt
    -0.48
     müßte
    -0.48
     daß
    -0.47
     Rumania
    -0.46
    POSITIVE LOGITS
     nuanced
    1.04
     incentiv
    0.98
     Notably
    0.94
     underwhelming
    0.91
     impactful
    0.91
     microbiome
    0.90
     prioritizing
    0.87
     leveraging
    0.85
     overarching
    0.85
     prioritized
    0.85
    Activations Density 6.411%

    No Known Activations