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

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsinterp-engineNEWAPI 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. 12-RES-JB
    11. 3197
    Prev
    Next
    INDEX
    Explanations

    phrases related to the experience of pain or hardship

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of suffering or negative experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enta
    -0.85
    llular
    -0.77
    ouf
    -0.76
    ession
    -0.74
    clusive
    -0.73
    osc
    -0.73
    apest
    -0.72
    assian
    -0.72
    uay
    -0.72
    clus
    -0.72
    POSITIVE LOGITS
     fools
    1.11
     setbacks
    1.07
     from
    1.02
     horrend
    1.00
     losses
    0.97
     humiliation
    0.97
     debilitating
    0.96
     embarrassment
    0.94
     terribly
    0.93
     defeats
    0.92
    Activations Density 0.108%

    No Known Activations