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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. 7-RES-JB
    6. 646
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    temporal references indicating dates and times

    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
    GY
    -0.70
     contiguous
    -0.67
    dust
    -0.66
    geries
    -0.59
     contamination
    -0.59
     brick
    -0.57
    wb
    -0.57
    verages
    -0.56
     speedy
    -0.56
     misc
    -0.56
    POSITIVE LOGITS
     announcing
    0.77
     afternoon
    0.72
     interviewer
    0.69
     evening
    0.69
     reassuring
    0.69
     Asked
    0.69
     morning
    0.68
     outlining
    0.68
    urai
    0.67
    athing
    0.66
    Activations Density 0.218%

    No Known Activations