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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. 9780
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    Explanations

    references to viewing content such as articles or stories

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "View" indicating sections of content that may require attention or interaction

    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
    cffff
    -0.91
    vous
    -0.77
     indo
    -0.77
     enthusi
    -0.76
     therap
    -0.72
     whistle
    -0.70
     congen
    -0.65
     perm
    -0.65
    cious
    -0.65
     compr
    -0.65
    POSITIVE LOGITS
    ership
    1.19
    ById
    1.17
    points
    1.02
     largeDownload
    1.01
    ports
    0.91
    point
    0.89
    finder
    0.88
    ories
    0.85
    ers
    0.82
    opsis
    0.82
    Activations Density 0.024%

    No Known Activations