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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. 7177
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    concepts related to associative learning and conditioning

    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
    NameInMap
    -0.71
    IndentedString
    -0.67
    WithIOException
    -0.59
    MigrationBuilder
    -0.59
    ThroughAttribute
    -0.59
     propOrder
    -0.56
     Wikiseite
    -0.54
     sério
    -0.53
    IUrlHelper
    -0.51
    findpost
    -0.50
    POSITIVE LOGITS
     learning
    0.50
     Learning
    0.45
     aprendizaje
    0.42
    Learning
    0.41
     teach
    0.40
     training
    0.38
     teaching
    0.37
     Training
    0.37
     aprend
    0.37
    learning
    0.36
    Activations Density 0.742%

    No Known Activations