© 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. 6-RES-JB
    11. 1056
    Prev
    Next
    INDEX
    Explanations

    keywords related to accuracy and precision

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accuracy and precision

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AIN
    -0.81
    loo
    -0.80
    acid
    -0.79
    doms
    -0.72
     Parties
    -0.71
    inki
    -0.71
     Pharma
    -0.71
    oly
    -0.69
    #$#$
    -0.69
    Aid
    -0.68
    POSITIVE LOGITS
    uracy
    1.09
     portrayal
    1.00
     depiction
    0.90
     appraisal
    0.88
     inacc
    0.85
     inaccurate
    0.85
     accuracy
    0.83
    imates
    0.82
    imated
    0.81
     depictions
    0.81
    Activations Density 0.025%

    No Known Activations