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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 113
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    INDEX
    Explanations

    concepts or entities related to foundational principles or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    the concept of fundamental principles or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nery
    -0.80
    quer
    -0.77
     Volunteers
    -0.74
    kers
    -0.74
     Carbuncle
    -0.72
    peak
    -0.70
     Banner
    -0.69
    oping
    -0.69
    pless
    -0.68
    outed
    -0.66
    POSITIVE LOGITS
     tenets
    0.91
    amental
    0.85
     principles
    0.83
     elements
    0.83
     fundamental
    0.80
     necessities
    0.79
     essence
    0.79
    ists
    0.79
    izes
    0.78
     components
    0.78
    Activations Density 0.014%

    No Known Activations