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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. 0-RES-JB
    11. 23363
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    Explanations

    words related to job applications or candidates

    oai_token-act-pair · gpt-3.5-turbo

    terms related to applicants in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    weet
    -0.72
    ool
    -0.68
    itol
    -0.66
    ird
    -0.63
     hex
    -0.63
    inside
    -0.62
     Seymour
    -0.61
    mass
    -0.59
    hed
    -0.59
    rad
    -0.59
    POSITIVE LOGITS
     applicants
    3.53
     applicant
    2.81
    Applic
    1.90
     Applicant
    1.90
     Applic
    1.75
     claimants
    1.74
     candidates
    1.63
     respondents
    1.60
     entrants
    1.57
     contestants
    1.54
    Activations Density 0.009%

    No Known Activations