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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. 9-RES-JB
    11. 20197
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    Explanations

    references to different types of media and their industry

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "the" as a significant focal point in a variety of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.90
     beforehand
    -0.84
    sufficient
    -0.76
     thereby
    -0.73
    ius
    -0.72
     demonstrates
    -0.71
     owing
    -0.70
     depended
    -0.68
     theirs
    -0.68
    TION
    -0.67
    POSITIVE LOGITS
    resa
    1.04
     coolest
    0.92
     richest
    0.90
     biggest
    0.90
     fastest
    0.88
     hottest
    0.88
     smartest
    0.88
     greatest
    0.85
     Kardash
    0.85
     internet
    0.84
    Activations Density 0.667%

    No Known Activations