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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 6050
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    Explanations

    specific identifiers, keywords, and structured elements commonly used in programming and technical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    期刊论文
    -0.60
     vectorielles
    -0.49
     <<<<<<<<<<<<<<
    -0.49
     Réponses
    -0.48
     thermique
    -0.48
    MessageTagHelper
    -0.47
    DebuggerNonUser
    -0.47
     vectorielle
    -0.45
     corresponded
    -0.44
     tartalomajánló
    -0.43
    POSITIVE LOGITS
    Expedia
    0.39
     dep
    0.38
     face
    0.38
     stabili
    0.36
     pun
    0.36
     read
    0.36
     '\\;'
    0.35
     obo
    0.35
     Plenum
    0.35
     decon
    0.35
    Activations Density 0.172%

    No Known Activations