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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. 10-RES-JB
    11. 10358
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    INDEX
    Explanations

    numerical measurements or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to polling or voting margins

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    details
    -0.74
    rology
    -0.71
    ravings
    -0.67
    osc
    -0.67
    OOL
    -0.66
    assetsadobe
    -0.66
    natureconservancy
    -0.65
    lar
    -0.63
    eatures
    -0.63
    uploads
    -0.63
    POSITIVE LOGITS
     apiece
    1.13
     margin
    0.94
     (~
    0.76
     difference
    0.73
     separating
    0.72
     (-
    0.70
     (+
    0.69
     ABV
    0.68
    +.
    0.68
     pts
    0.68
    Activations Density 0.026%

    No Known Activations