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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. 8751
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    Explanations

    measurements or actions related to measuring physical attributes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and quantification

    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
    illard
    -0.86
    ovie
    -0.76
    ategor
    -0.75
    ccoli
    -0.73
    lishing
    -0.73
    udeb
    -0.71
    jet
    -0.71
    redo
    -0.70
    chrome
    -0.69
    burning
    -0.68
    POSITIVE LOGITS
    Measure
    0.95
     Measure
    0.89
     measuring
    0.82
     measurement
    0.80
     glim
    0.79
     measurements
    0.79
     measure
    0.76
     Telescope
    0.72
     instruments
    0.72
     metrics
    0.72
    Activations Density 0.030%

    No Known Activations