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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. 22714
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    Explanations

    references to specific organizations, such as companies or government bodies

    oai_token-act-pair · gpt-3.5-turbo

    references to health-related statistics or organizational goals

    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
    ¥µ
    -0.72
    Sov
    -0.66
    Jr
    -0.64
    cells
    -0.63
    ["
    -0.63
    ãĥ´ãĤ¡
    -0.61
    ãĥ¼ãĥĨ
    -0.61
    Ïī
    -0.59
     triv
    -0.59
    çķ
    -0.59
    POSITIVE LOGITS
     euth
    0.76
     breastfeeding
    0.68
     cyclist
    0.68
     glyphosate
    0.67
     MLA
    0.65
     apologised
    0.65
     saddened
    0.64
     Aboriginal
    0.64
     disbanded
    0.63
     circumcision
    0.63
    Activations Density 0.968%

    No Known Activations