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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. 3-RES-JB
    11. 20987
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    INDEX
    Explanations

    mentions of job applicants 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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roman
    -0.74
    ?????-
    -0.68
    pac
    -0.64
     Hobby
    -0.64
     Moral
    -0.64
     Charge
    -0.64
    Charge
    -0.63
     Alps
    -0.62
    ashington
    -0.61
    ilation
    -0.61
    POSITIVE LOGITS
     applicants
    1.20
     applicant
    1.14
     Applicant
    0.89
     contestants
    0.88
     seekers
    0.86
     visas
    0.82
     applications
    0.82
     contestant
    0.79
     candidates
    0.79
     submissions
    0.77
    Activations Density 0.028%

    No Known Activations