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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. 11-RES-JB
    11. 821
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    INDEX
    Explanations

    mentions of specific regulations or standards, particularly related to safety and compliance with ISO standards

    oai_token-act-pair · gpt-3.5-turbo

    references to industry standards and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akin
    -0.78
    itars
    -0.77
    Lt
    -0.75
    bucks
    -0.71
    amon
    -0.67
    htar
    -0.66
    args
    -0.66
    Wan
    -0.66
    ertodd
    -0.65
     Bain
    -0.64
    POSITIVE LOGITS
     criteria
    1.29
     guidelines
    1.26
     standards
    1.17
     Guidelines
    1.15
     Classification
    1.14
     Standards
    1.13
     Publication
    1.10
     classification
    1.09
    STD
    1.08
     definition
    1.08
    Activations Density 0.232%

    No Known Activations