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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. 9434
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific names or titles, particularly those related to individuals or authorities

    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
     Tycoon
    -0.73
     Scotia
    -0.72
     Canaver
    -0.69
     GEAR
    -0.66
     saline
    -0.65
     Durham
    -0.62
    WHERE
    -0.62
     Makoto
    -0.61
     custody
    -0.60
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.59
    POSITIVE LOGITS
    wered
    1.42
     Ans
    1.10
    linger
    1.06
    ensibly
    0.94
    ensible
    0.90
    ovic
    0.88
    entials
    0.88
    pread
    0.88
    combe
    0.87
    anta
    0.87
    Activations Density 0.018%

    No Known Activations