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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. 4-RES-JB
    11. 13517
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    INDEX
    Explanations

    ambiguous and fuzzy words in textual content

    oai_token-act-pair · gpt-3.5-turbo

    references to unclear or uncertain concepts

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

    No Comments

    Negative Logits
    iseum
    -0.83
    anza
    -0.78
    inse
    -0.77
    gio
    -0.74
    oration
    -0.73
    din
    -0.71
    dain
    -0.71
    anto
    -0.70
    Eat
    -0.70
    sin
    -0.69
    POSITIVE LOGITS
     wording
    0.83
     ambig
    0.83
     clouds
    0.78
     neb
    0.74
     ambiguous
    0.73
     interpretation
    0.73
     phr
    0.72
    abouts
    0.71
     boundaries
    0.70
     violet
    0.70
    Activations Density 0.035%

    No Known Activations