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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. 803
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    Explanations

    government agencies, departments, universities, institutions, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental organizations and agencies

    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
    pler
    -0.67
     awhile
    -0.64
    spir
    -0.62
     Passing
    -0.59
     NEVER
    -0.58
     seasons
    -0.57
    ravings
    -0.57
     paradise
    -0.56
    imation
    -0.56
     haunting
    -0.56
    POSITIVE LOGITS
     representatives
    0.86
     consortium
    0.73
     academia
    0.70
     clergy
    0.69
     universities
    0.67
     Bundes
    0.66
     interven
    0.66
     embassies
    0.66
     chaired
    0.65
     regional
    0.65
    Activations Density 0.764%

    No Known Activations