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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13187
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    elements related to educational concepts and memory techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.60
     VIAF
    -0.47
    Autoritní
    -0.47
    Diwedd
    -0.45
    ApiModelProperty
    -0.45
     coar
    -0.44
    Datuak
    -0.44
    openConnection
    -0.44
    tus
    -0.42
    Externé
    -0.42
    POSITIVE LOGITS
     memorize
    0.82
     memorized
    0.75
     Memor
    0.66
    Memor
    0.64
     memor
    0.63
    MEMOR
    0.52
     memori
    0.51
     Knowledge
    0.51
     Memory
    0.50
     knowledge
    0.50
    Activations Density 0.303%

    No Known Activations