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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. 5-RES-JB
    6. 1660
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    Explanations

    phrases that suggest a variety of options or possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the existence of numerous items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    buster
    -0.79
    venture
    -0.69
    rib
    -0.67
    hammad
    -0.66
    ufact
    -0.66
    sole
    -0.66
    ãĥ¼ãĥ«
    -0.63
    merce
    -0.62
    quote
    -0.62
    pper
    -0.62
    POSITIVE LOGITS
     similarities
    0.95
     unanswered
    0.92
     overlap
    0.89
     parallels
    0.84
     variations
    0.83
     plenty
    0.82
     outstanding
    0.82
     conflicting
    0.79
     vacancies
    0.77
     uncertainties
    0.76
    Activations Density 0.140%

    No Known Activations