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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. 11-RES-JB
    11. 1371
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    Explanations

    topics or themes that are repeated or emphasized in a document, such as recurring themes, hot topics, or major issues

    oai_token-act-pair · gpt-3.5-turbo

    recurring themes and issues in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ignt
    -0.67
    oop
    -0.67
    orks
    -0.67
    oops
    -0.65
    teness
    -0.64
    rity
    -0.63
    ools
    -0.63
    rave
    -0.62
     Lumpur
    -0.62
    brids
    -0.61
    POSITIVE LOGITS
     amongst
    1.01
     among
    0.91
     throughout
    0.87
     plag
    0.83
    among
    0.79
     debated
    0.79
     topic
    0.78
     for
    0.77
     haunt
    0.76
     nationally
    0.73
    Activations Density 0.208%

    No Known Activations