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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. 2616
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    Explanations

    terms related to masonry and construction

    oai_token-act-pair · gpt-3.5-turbo

    references to reasons or justifications

    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
     technician
    -0.75
    horn
    -0.74
     Tucker
    -0.73
     Edu
    -0.71
     Nano
    -0.70
     Swanson
    -0.69
    icle
    -0.67
     Bradley
    -0.67
     textbook
    -0.66
     specimen
    -0.66
    POSITIVE LOGITS
    asons
    2.89
     Pag
    1.85
     func
    1.75
    asonry
    1.68
    func
    1.59
    ASON
    1.36
    athed
    1.27
     pag
    1.22
    ciples
    1.12
    ayers
    1.11
    Activations Density 0.036%

    No Known Activations