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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8704
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    phrases linked to incentives and performance in professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snippetHide
    -0.60
     exhibición
    -0.38
     nutrición
    -0.36
     discussão
    -0.35
    dAtA
    -0.35
     fianco
    -0.34
     ketat
    -0.34
     parceiros
    -0.34
     posibilidades
    -0.33
     yorum
    -0.33
    POSITIVE LOGITS
     nakalista
    0.83
     expenses
    0.52
    OGND
    0.50
     cocos
    0.50
     kasarigan
    0.50
     services
    0.50
     AssemblyCulture
    0.50
    🇶
    0.49
     SERVICES
    0.49
     moy
    0.49
    Activations Density 0.487%

    No Known Activations