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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. 7-RES-JB
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    Explanations

    the word "submit" across various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "submit" and variations in context

    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
     Portug
    -0.71
    tesy
    -0.70
    makers
    -0.67
    arta
    -0.65
    ijn
    -0.65
    rawdownloadcloneembedreportprint
    -0.62
    OME
    -0.61
    maker
    -0.60
    walker
    -0.60
    bye
    -0.59
    POSITIVE LOGITS
    missions
    0.88
    mitted
    0.83
     submissions
    0.83
     petitions
    0.78
    enced
    0.76
    yson
    0.76
     bids
    0.76
    missive
    0.75
     Submission
    0.74
     submitted
    0.74
    Activations Density 0.042%

    No Known Activations