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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9688
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    adverbs that describe manner or degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adapt
    -0.58
    ècie
    -0.57
    met
    -0.57
    わかった
    -0.56
     поня
    -0.56
    卉
    -0.56
    れた
    -0.55
    れる
    -0.55
    わからない
    -0.54
    出る
    -0.53
    POSITIVE LOGITS
    sively
    2.05
    ously
    1.95
    ently
    1.91
    ically
    1.86
    istically
    1.83
    ificantly
    1.83
    tically
    1.83
    ctively
    1.82
    antly
    1.82
    mically
    1.81
    Activations Density 2.794%

    No Known Activations