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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. 7-RES-JB
    11. 2874
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    Explanations

    sentences with numerical values followed by a period

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     energies
    -0.72
    alian
    -0.68
    rawdownloadcloneembedreportprint
    -0.68
    uly
    -0.67
     energy
    -0.67
     casting
    -0.67
     swinging
    -0.66
     powering
    -0.66
     lad
    -0.66
     pumping
    -0.66
    POSITIVE LOGITS
     [+
    1.08
     Conclusion
    1.04
     Beware
    0.95
     Lack
    0.86
     Recommend
    0.83
     Learns
    0.78
     Thou
    0.76
     Chocobo
    0.76
     Critics
    0.75
     Roundup
    0.75
    Activations Density 0.072%

    No Known Activations