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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8421
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    Explanations

    details describing the condition and wear of objects or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kaarangay
    -0.38
    SBATCH
    -0.36
     Independiente
    -0.35
    rrggbb
    -0.35
    pantalones
    -0.34
     Administrativna
    -0.34
    yczą
    -0.33
    сур
    -0.33
    InitVars
    -0.33
    ///</
    -0.33
    POSITIVE LOGITS
     worn
    1.66
     dilapidated
    1.59
     decayed
    1.48
     deteriorated
    1.45
     decaying
    1.40
     rusted
    1.39
     damaged
    1.38
     tattered
    1.34
     dirty
    1.34
     faded
    1.34
    Activations Density 0.536%

    No Known Activations