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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. 0-RES-JB
    11. 5316
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    references to authors and their works

    oai_token-act-pair · gpt-3.5-turbo

    references to authors and their works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osta
    -0.71
    bath
    -0.69
    -|
    -0.68
    vere
    -0.66
    dash
    -0.64
    ooth
    -0.64
    angs
    -0.64
    jobs
    -0.63
    eg
    -0.61
    ntil
    -0.61
    POSITIVE LOGITS
     author
    3.82
     authors
    2.52
     Author
    2.38
    author
    2.24
     AUTHOR
    2.10
    Author
    2.01
     Authors
    1.98
     writer
    1.97
     novelist
    1.82
    authors
    1.69
    Activations Density 0.020%

    No Known Activations