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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9564
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    references to rats in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MessageTagHelper
    -0.50
    LabelTagHelper
    -0.46
    PostInfinity
    -0.43
     EClass
    -0.41
    цездатний
    -0.41
    isContained
    -0.40
     Houſe
    -0.40
    inquirer
    -0.40
    principalTable
    -0.40
    featureID
    -0.39
    POSITIVE LOGITS
     Rat
    2.11
     rat
    2.09
    Rat
    2.05
    rat
    1.98
     RAT
    1.64
    RAT
    1.60
     rats
    1.55
     Rats
    1.48
    rats
    1.48
    Rats
    1.34
    Activations Density 1.223%

    No Known Activations