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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. 1794
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    Explanations

    positive anecdotes or sentiments

    oai_token-act-pair · gpt-3.5-turbo

    sentences ending in a period

    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
    uly
    -0.69
    thal
    -0.68
    arov
    -0.67
     helper
    -0.65
     correct
    -0.64
    apan
    -0.64
    ãĥķãĤ¡
    -0.64
    ©¶æ
    -0.63
     dimensional
    -0.62
     defe
    -0.62
    POSITIVE LOGITS
     Occasionally
    1.05
     Worse
    1.04
     Visitors
    1.01
     But
    0.98
     Amid
    0.98
     Among
    0.96
     Whereas
    0.96
     Their
    0.95
     Fortunately
    0.95
     Those
    0.94
    Activations Density 0.934%

    No Known Activations