Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    APISteerSAE EvalsBlog/PodcastNEWSlackPrivacy & TermsContact
    © Neuronpedia 2025
    Privacy & TermsBlog/PodcastGitHubSlackTwitterContact
    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. 9913
    Prev
    Next
    INDEX
    Explanations

    the mention of the word "petroleum" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to petroleum and related industries

    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
    lr
    -0.80
     Hancock
    -0.77
     Sparrow
    -0.75
     Grimm
    -0.70
     Cardinal
    -0.70
    oard
    -0.69
    uders
    -0.68
     Weaver
    -0.68
    */(
    -0.68
    upon
    -0.67
    POSITIVE LOGITS
    roleum
    1.17
     petroleum
    0.90
    utical
    0.87
     oils
    0.82
     Petroleum
    0.80
     fumes
    0.79
     vap
    0.78
    oline
    0.77
     products
    0.76
     sands
    0.76
    Activations Density 0.019%

    No Known Activations