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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6820
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    Explanations

    postpositions 'by' followed by a title and author

    oai_token-act-pair · gpt-3.5-turbo

    citations or credits indicating authorship in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptions
    -0.80
     redistributed
    -0.74
    ption
    -0.73
    });
    -0.71
    ptive
    -0.71
    cffffcc
    -0.70
    illance
    -0.70
    bia
    -0.70
    wcs
    -0.69
    bian
    -0.69
    POSITIVE LOGITS
     Edwin
    1.04
     David
    1.02
     Robert
    1.01
     Colin
    1.01
     Philip
    1.01
     Jonathan
    1.01
     Nathan
    1.01
     William
    1.00
     Joseph
    1.00
     virtue
    1.00
    Activations Density 0.075%

    No Known Activations