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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 19450
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    Explanations

    titles or descriptions of products or items for sale

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and numerical values or terms associated with lists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.65
     wildlife
    -0.63
     extradition
    -0.62
     laughter
    -0.62
     courtroom
    -0.61
     roy
    -0.61
     philanthrop
    -0.61
     Chiefs
    -0.60
     ski
    -0.60
     plea
    -0.59
    POSITIVE LOGITS
    ļéĨĴ
    0.82
    shapeshifter
    0.81
    anooga
    0.80
    ardless
    0.77
    Downloadha
    0.76
    ACP
    0.76
    ECD
    0.75
     Alternatively
    0.74
    Reviewer
    0.74
    also
    0.71
    Activations Density 0.987%

    No Known Activations