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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. 8589
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    Explanations

    information related to research projects, surveys, and data collection

    oai_token-act-pair · gpt-3.5-turbo

    discussions around social opportunities and community engagement

    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
    xit
    -0.65
    uphem
    -0.65
    ascal
    -0.63
     Illegal
    -0.60
    $$$$
    -0.60
    ocide
    -0.59
     Manufacturer
    -0.58
     Godd
    -0.58
     impunity
    -0.57
     Replacement
    -0.56
    POSITIVE LOGITS
     Topics
    0.93
     topics
    0.90
     insights
    0.81
    entimes
    0.79
     culmin
    0.77
     mentors
    0.77
     overview
    0.75
     invaluable
    0.75
     brainstorm
    0.75
     interviewing
    0.74
    Activations Density 1.133%

    No Known Activations