© 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. 2-RES-JB
    11. 5705
    Prev
    Next
    INDEX
    Explanations

    phrases expressing the idea of maximizing something or achieving the highest degree of a certain quality

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of maximizing potential or minimizing limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bane
    -0.97
    masters
    -0.83
    lua
    -0.79
    OVA
    -0.77
    rix
    -0.76
    mpire
    -0.76
    ogie
    -0.73
    yer
    -0.73
    glass
    -0.72
    waters
    -0.72
    POSITIVE LOGITS
     embodiments
    0.77
     surv
    0.75
     feas
    0.71
     alternatives
    0.69
     00000000
    0.68
     defect
    0.68
     embodiment
    0.67
    ROR
    0.67
    DragonMagazine
    0.66
     futures
    0.66
    Activations Density 0.022%

    No Known Activations