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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. 9-RES-JB
    11. 3014
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    INDEX
    Explanations

    business-related terms, such as industry sectors, services, and jobs

    oai_token-act-pair · gpt-3.5-turbo

    references to sectors of employment and job statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orious
    -0.70
     Zucker
    -0.69
     boo
    -0.68
    changed
    -0.68
     guilt
    -0.66
     detractors
    -0.65
     Simone
    -0.65
     lashes
    -0.64
     Goldberg
    -0.63
     Mandela
    -0.63
    POSITIVE LOGITS
     agriculture
    1.40
     telecommunications
    1.31
     automotive
    1.26
     forestry
    1.26
     aerospace
    1.23
     manufacturing
    1.16
    cellaneous
    1.15
     transportation
    1.15
     industries
    1.15
     electronics
    1.15
    Activations Density 0.727%

    No Known Activations