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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 10826
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    Explanations

    elements related to job applications and interview processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pion
    -0.37
    轭
    -0.36
     sobremesa
    -0.33
     makeStyles
    -0.33
     pron
    -0.32
    SBATCH
    -0.31
     Dictionary
    -0.31
     pol
    -0.30
    yargs
    -0.30
    cong
    -0.30
    POSITIVE LOGITS
     interview
    1.55
     candidates
    1.52
     interviewing
    1.50
     candidate
    1.45
     Interview
    1.45
    Interview
    1.45
    interview
    1.44
     interviews
    1.41
     interviewer
    1.41
     Candidates
    1.40
    Activations Density 0.436%

    No Known Activations