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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1415
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    terms related to health quality assessment metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Numerade
    -0.39
     doInBackground
    -0.35
     Trouver
    -0.33
    cstdlib
    -0.31
    PAIGN
    -0.30
    isSuccessful
    -0.30
    EXPERIMENT
    -0.30
     BoxDecoration
    -0.30
    \{\\
    -0.29
     endforeach
    -0.29
    POSITIVE LOGITS
     scales
    1.12
     scale
    1.06
     Scale
    0.96
     Scales
    0.92
    scale
    0.91
    scales
    0.90
     instrument
    0.86
    Scale
    0.85
    SCALE
    0.85
     SCALE
    0.85
    Activations Density 1.286%

    No Known Activations