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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. 5985
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    Explanations

    symbols and quotes used to emphasize points or divide content

    oai_token-act-pair · gpt-3.5-turbo

    symbols and punctuation marks, particularly those that signify emphasis or separation

    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
    \":
    -0.70
    ppelin
    -0.69
    fecture
    -0.67
     beginning
    -0.66
    gery
    -0.64
     everyday
    -0.62
    upper
    -0.62
     boiler
    -0.62
    qt
    -0.61
     starting
    -0.59
    POSITIVE LOGITS
    ONSORED
    1.08
     Provided
    0.67
     Result
    0.66
     Quote
    0.66
     SUPPORT
    0.65
    fw
    0.64
     PHOTO
    0.64
     Pair
    0.63
     Comparison
    0.62
     ----------------------------------------------------------------
    0.62
    Activations Density 0.537%

    No Known Activations