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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14224
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    Explanations

    mentions of experience or expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    djangoproject
    -0.79
    脚注の使い方
    -0.74
    OrNil
    -0.73
    ########.
    -0.72
    lgari
    -0.71
     Roskov
    -0.70
    存于互联网档案馆
    -0.69
     allAfrica
    -0.68
    AlterField
    -0.66
     /\.
    -0.66
    POSITIVE LOGITS
     experienced
    2.84
    experienced
    2.53
     Experienced
    2.45
    Experienced
    2.34
     skilled
    1.92
     seasoned
    1.85
     knowledgeable
    1.78
     experimentado
    1.61
     inexperienced
    1.58
     ervaren
    1.47
    Activations Density 0.123%

    No Known Activations