© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 7226
    Prev
    Next
    INDEX
    Explanations

    words related to suffering or difficult situations, specifically emphasizing emotional distress

    oai_token-act-pair · gpt-3.5-turbo

    terms related to suffering and negative emotional states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.82
    tein
    -0.77
    cium
    -0.75
    aneous
    -0.74
    izations
    -0.68
    arget
    -0.68
    Ģ
    -0.67
    glomer
    -0.67
    icum
    -0.66
    encers
    -0.66
    POSITIVE LOGITS
     misery
    0.93
     doom
    0.93
     havoc
    0.82
     Despair
    0.80
     misfortune
    0.80
    iness
    0.79
    ppe
    0.77
    byss
    0.76
     torment
    0.75
    lessness
    0.74
    Activations Density 0.025%

    No Known Activations