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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. 12166
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    Explanations

    phrases indicating some level of comparison or degree

    oai_token-act-pair · gpt-3.5-turbo

    parentheses used in sentences

    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
    arus
    -0.75
     oun
    -0.71
    monton
    -0.69
    akov
    -0.68
    oda
    -0.67
    icter
    -0.66
    resy
    -0.65
    APTER
    -0.64
    ibel
    -0.64
    igers
    -0.62
    POSITIVE LOGITS
     Malf
    0.72
    interest
    0.69
    multiple
    0.62
    suff
    0.59
    ãĥİ
    0.59
    hearted
    0.57
     apologies
    0.56
     Leilan
    0.56
     inaction
    0.55
    stellar
    0.54
    Activations Density 0.089%

    No Known Activations