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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. 4346
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    INDEX
    Explanations

    mentions of specific names or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to athlete names and their statistics

    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
    sylv
    -0.79
    uscript
    -0.79
     plur
    -0.72
    ymm
    -0.68
     Feminist
    -0.67
     print
    -0.66
    Reviewer
    -0.65
     magnification
    -0.65
     printers
    -0.64
     sow
    -0.64
    POSITIVE LOGITS
     coached
    1.09
     coach
    1.06
    NBA
    1.03
     teammate
    1.02
     rookie
    1.01
     undrafted
    1.01
    enko
    0.96
     preseason
    0.95
    ESPN
    0.95
     Rookie
    0.94
    Activations Density 0.271%

    No Known Activations