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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. 7999
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    INDEX
    Explanations

    mentions of economic sectors

    oai_token-act-pair · gpt-3.5-turbo

    references to economic sectors and industries

    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
    ensis
    -0.70
     Jon
    -0.64
    ope
    -0.64
    onym
    -0.64
    otype
    -0.62
     mailed
    -0.61
    runner
    -0.60
     assistant
    -0.59
     experiment
    -0.59
     suggestion
    -0.58
    POSITIVE LOGITS
     sectors
    3.67
     industries
    2.07
     segments
    1.78
     spheres
    1.51
     ministries
    1.44
     Sector
    1.44
     areas
    1.42
     professions
    1.41
     sections
    1.38
     regions
    1.38
    Activations Density 0.014%

    No Known Activations