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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 8242
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    INDEX
    Explanations

    guidance related to job interviews and application processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    interviews or applications

    np_acts-logits-general · gemini-2.0-flash

    applicant interview experience

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     censi
    -0.48
    >')
    -0.47
     propagation
    -0.46
     conseguenze
    -0.46
    buz
    -0.45
     Precinct
    -0.45
    Naming
    -0.44
     Songtext
    -0.44
    Adults
    -0.44
    newName
    -0.43
    POSITIVE LOGITS
     interview
    1.04
     interviewers
    0.99
     interviewer
    0.97
     applicant
    0.95
     applicants
    0.91
     interviewing
    0.88
     Interview
    0.86
    interview
    0.84
     interviews
    0.84
     Applicant
    0.82
    Activations Density 0.401%

    No Known Activations