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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. 2-RES-JB
    11. 22145
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    Explanations

    terms related to digital media such as "thumbnails," "placement," "coverage," and "commentators."

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to digital content organization or layout

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hoff
    -0.75
    icter
    -0.72
    raq
    -0.72
     incorpor
    -0.70
    rolet
    -0.68
     appropriation
    -0.68
    rex
    -0.67
     quart
    -0.66
    inished
    -0.65
     appendix
    -0.65
    POSITIVE LOGITS
     actionGroup
    0.97
    ãĥĺ
    0.77
    displayText
    0.74
    9999
    0.72
    cience
    0.70
    )</
    0.69
    taboola
    0.69
    ults
    0.68
    ocaust
    0.67
    ust
    0.66
    Activations Density 0.000%

    No Known Activations