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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 9087
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    Explanations

    quantitative precision and specificity in language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pinulongan
    -0.65
    -------------</
    -0.63
     esternos
    -0.56
     informée
    -0.56
     chaude
    -0.55
    şört
    -0.54
     addUser
    -0.53
     consideramos
    -0.50
     kiệm
    -0.50
    expandindo
    -0.50
    POSITIVE LOGITS
     exactly
    1.88
     exact
    1.77
     EXACTLY
    1.68
    exactly
    1.66
     Exactly
    1.65
    exact
    1.61
    Exactly
    1.59
     Exact
    1.53
     EXACT
    1.53
    Exact
    1.52
    Activations Density 0.200%

    No Known Activations