© 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 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. 10-RES-JB
    11. 4468
    Prev
    Next
    INDEX
    Explanations

    descriptions related to different types of roasting, toasting, and flavor profiles in food

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otiation
    -0.88
    pheus
    -0.75
    inez
    -0.71
    maxwell
    -0.70
    senal
    -0.70
    uable
    -0.69
    asive
    -0.69
    ansom
    -0.67
    aterasu
    -0.66
    atche
    -0.66
    POSITIVE LOGITS
    efully
    0.90
    masters
    0.83
    eful
    0.82
    ful
    0.79
    asting
    0.77
    lake
    0.75
    velt
    0.74
    ments
    0.73
    eless
    0.71
    Ħ¢
    0.69
    Activations Density 0.094%

    No Known Activations