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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1155
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    Explanations

    phrases related to job interviews and application processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     intptr
    -0.54
    endphp
    -0.54
    請繼續往下閱讀
    -0.51
    Tikang
    -0.50
     Мексичка
    -0.49
    WriteTagHelper
    -0.49
    __':
    -0.47
     Roskov
    -0.47
     Вікі
    -0.47
    údio
    -0.47
    POSITIVE LOGITS
     applicants
    0.83
     applicant
    0.79
     Applicant
    0.73
     candidates
    0.73
     candidate
    0.72
     Applicants
    0.72
     Bewer
    0.71
    Applicants
    0.71
     Candidates
    0.68
     Candidate
    0.66
    Activations Density 0.318%

    No Known Activations