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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. 13887
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    INDEX
    Explanations

    the word "segment" with varying levels of emphasis or relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to segments or sections in discussions or content

    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
    CHA
    -0.68
    etheless
    -0.65
     opio
    -0.64
     realism
    -0.63
    ettings
    -0.63
     brink
    -0.63
    kens
    -0.63
    rises
    -0.61
     torch
    -0.60
     Angels
    -0.60
    POSITIVE LOGITS
    ation
    0.89
     segments
    0.88
     segment
    0.86
    naire
    0.85
    regate
    0.83
    arily
    0.83
    ated
    0.78
    ially
    0.78
    IAL
    0.77
    meric
    0.74
    Activations Density 0.013%

    No Known Activations