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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. 1-RES-JB
    11. 7423
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    INDEX
    Explanations

    references to job or application processes

    oai_token-act-pair · gpt-3.5-turbo

    references to applicants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashington
    -0.73
    roman
    -0.72
     Moral
    -0.71
     Alps
    -0.69
     Easter
    -0.67
    feeding
    -0.66
    pac
    -0.65
     Hobby
    -0.64
    inventoryQuantity
    -0.64
     Holiday
    -0.64
    POSITIVE LOGITS
     applicants
    1.43
     applicant
    1.31
     contestants
    1.05
     Applicant
    1.03
     licenses
    0.93
     candidates
    0.93
     entrants
    0.92
     applications
    0.90
     elig
    0.88
     seekers
    0.87
    Activations Density 0.013%

    No Known Activations