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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. 4-RES-JB
    11. 7406
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    INDEX
    Explanations

    mentions of paperwork

    oai_token-act-pair · gpt-3.5-turbo

    references to "paperwork" and related administrative tasks

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

    No Comments

    Negative Logits
     Flavoring
    -0.83
    otin
    -0.77
    ovie
    -0.77
    ofi
    -0.75
    gom
    -0.73
    ole
    -0.71
    vill
    -0.71
    irth
    -0.71
    olt
    -0.70
    ideshow
    -0.69
    POSITIVE LOGITS
     paperwork
    1.19
     deadlines
    0.81
     documents
    0.78
     requirements
    0.76
     documentation
    0.76
     papers
    0.74
     filed
    0.74
    istically
    0.73
     verification
    0.72
     ATF
    0.71
    Activations Density 0.020%

    No Known Activations