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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. 2888
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    INDEX
    Explanations

    text structuring elements like references and citations

    oai_token-act-pair · gpt-3.5-turbo

    writings or sections that involve editing or referencing additional materials

    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
    ufact
    -0.89
     bottleneck
    -0.62
    zona
    -0.61
    rogram
    -0.60
     rampage
    -0.59
     kidnapping
    -0.58
    intent
    -0.57
    iameter
    -0.57
    ignt
    -0.55
     Ake
    -0.55
    POSITIVE LOGITS
    âĨij
    1.05
    References
    0.92
     notes
    0.83
    Notes
    0.82
    ibliography
    0.81
    Sources
    0.76
     References
    0.74
    pmwiki
    0.74
     Gaul
    0.73
     references
    0.73
    Activations Density 0.072%

    No Known Activations