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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. 6-RES-JB
    6. 14239
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    Explanations

    terms related to technology and science, and specifically, the concept of antimatter

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific concepts and discussions related to various social, political, and economic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adobe
    -0.63
     Neander
    -0.62
    Johnny
    -0.60
    Tai
    -0.59
    github
    -0.59
     Aub
    -0.58
    ||||
    -0.57
    ixel
    -0.57
    neck
    -0.57
     Athens
    -0.57
    POSITIVE LOGITS
     alike
    1.55
     equivalents
    0.89
     respectively
    0.86
     versa
    0.79
     accessories
    0.77
     components
    0.73
     expansions
    0.71
     substitutes
    0.70
     contexts
    0.69
     facets
    0.69
    Activations Density 0.412%

    No Known Activations