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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 23831
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    Explanations

    words related to job applications and hiring processes, such as "resume", "audition", "salary", and "requirements"

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to job applications and resumes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.79
    ijk
    -0.75
    jer
    -0.73
    cart
    -0.72
    esm
    -0.72
     analog
    -0.72
     bowel
    -0.69
    icz
    -0.69
    isin
    -0.68
    iol
    -0.67
    POSITIVE LOGITS
     applicants
    1.07
     elig
    0.96
     applicant
    0.93
     listings
    0.92
     postings
    0.90
     prospects
    0.88
     vacancies
    0.85
     eligibility
    0.84
     interviews
    0.84
     recru
    0.84
    Activations Density 0.113%

    No Known Activations