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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. 3-RES-JB
    11. 4789
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    INDEX
    Explanations

    exceptions or outliers in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exceptions or exceptions to rules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cart
    -0.70
     nanop
    -0.66
    roph
    -0.65
     Vice
    -0.62
     driveway
    -0.62
    rolled
    -0.61
    itated
    -0.61
     neighb
    -0.61
     istg
    -0.59
     precinct
    -0.59
    POSITIVE LOGITS
    Reviewer
    0.90
     exceptions
    0.89
    backs
    0.79
     exception
    0.78
    ptions
    0.76
    aneous
    0.75
    perty
    0.74
    dylib
    0.72
    ality
    0.70
    ishly
    0.70
    Activations Density 0.012%

    No Known Activations