© 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. 3-RES-JB
    11. 18234
    Prev
    Next
    INDEX
    Explanations

    references to receivers or receivership

    oai_token-act-pair · gpt-3.5-turbo

    references to recipients in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERO
    -0.71
    ORT
    -0.69
    Gall
    -0.66
     Sabb
    -0.64
    urb
    -0.64
     Shots
    -0.63
    zan
    -0.63
    Ku
    -0.62
    aber
    -0.62
    Enough
    -0.62
    POSITIVE LOGITS
     recipients
    1.25
     recipient
    1.18
    ients
    0.85
    ipient
    0.83
     beneficiaries
    0.82
    mable
    0.81
     receiving
    0.78
    cffff
    0.74
    terson
    0.73
     rece
    0.71
    Activations Density 0.016%

    No Known Activations