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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. 2-RES-JB
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    titles or sections marked with "Further" or "Further reading."

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enos
    -0.70
    aido
    -0.67
    inho
    -0.66
    liest
    -0.64
     sights
    -0.64
    eps
    -0.64
    Ct
    -0.63
     dreaded
    -0.62
    bows
    -0.61
    CENT
    -0.61
    POSITIVE LOGITS
     ado
    1.11
     Further
    0.93
     Reading
    0.84
    Further
    0.83
    rawdownloadcloneembedreportprint
    0.79
    ance
    0.79
    backer
    0.75
     refinement
    0.73
     embodiments
    0.73
    mental
    0.73
    Activations Density 0.011%

    No Known Activations