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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. 8220
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    references to learning and memory processes

    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
     EconPapers
    -0.68
    SharedDtor
    -0.67
     propOrder
    -0.67
    ApiModelProperty
    -0.63
     <<<<<<<<<<<<<<
    -0.61
    Autoritní
    -0.59
    enderror
    -0.58
    parsedMessage
    -0.54
    GTCX
    -0.53
    OGND
    -0.53
    POSITIVE LOGITS
     memorize
    0.72
     memorized
    0.69
     memor
    0.56
     Memor
    0.51
    lear
    0.47
     memori
    0.47
    Memor
    0.46
    MEMOR
    0.44
    Lear
    0.43
     mastering
    0.42
    Activations Density 0.307%

    No Known Activations