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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. 6-RES-JB
    11. 15504
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    Explanations

    words related to professions and roles, especially those related to medical, journalistic, and artistic fields

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical professionals and their assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rontal
    -0.70
    isSpecialOrderable
    -0.68
     congestion
    -0.68
     airspace
    -0.66
     bins
    -0.65
     recapt
    -0.64
     highways
    -0.64
     choke
    -0.64
     annexed
    -0.64
     driveway
    -0.63
    POSITIVE LOGITS
     specializing
    0.83
    who
    0.78
    ateur
    0.77
    scient
    0.76
    League
    0.73
    Publisher
    0.70
     extraord
    0.67
    Anne
    0.67
    ept
    0.67
    enment
    0.67
    Activations Density 0.722%

    No Known Activations