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

    Neuronpedia

    APICircuit TracerNEWSteerSAE EvalsBlog/PodcastSlackPrivacy & 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. 3355
    Prev
    Next
    INDEX
    Explanations

    mentions of individuals suffering from various physical and mental health conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "suffering from."

    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
    soon
    -0.79
    retty
    -0.78
    lite
    -0.72
    oyer
    -0.72
    hai
    -0.71
    soDeliveryDate
    -0.69
    hatt
    -0.69
    ivas
    -0.68
    ires
    -0.68
    reddits
    -0.68
    POSITIVE LOGITS
     acute
    0.77
     illness
    0.75
     afar
    0.73
     PTS
    0.72
     ana
    0.70
     PTSD
    0.70
     scratch
    0.69
     debilitating
    0.68
     various
    0.68
     bouts
    0.67
    Activations Density 0.043%

    No Known Activations