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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 17663
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    Explanations

    mentions of sports events and competitions, particularly focusing on the terms "Semi-final" and "Final."

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to sports tournaments and finals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resp
    -0.66
    facts
    -0.66
    relative
    -0.65
    limit
    -0.65
    afort
    -0.65
    travel
    -0.64
    lein
    -0.64
    hart
    -0.63
    behavior
    -0.62
     impe
    -0.62
    POSITIVE LOGITS
    ists
    1.05
    ist
    0.91
    izes
    0.87
    isers
    0.76
    izers
    0.76
    izing
    0.75
    ises
    0.73
    iners
    0.73
    ims
    0.73
    ize
    0.71
    Activations Density 0.024%

    No Known Activations