© 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. 18155
    Prev
    Next
    INDEX
    Explanations

    actions involving pulling, particularly with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "pulled."

    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
    voy
    -0.79
    afort
    -0.75
    ibel
    -0.75
    ggies
    -0.75
    bernatorial
    -0.72
    unic
    -0.72
    heid
    -0.70
    lain
    -0.69
    esa
    -0.69
    esan
    -0.68
    POSITIVE LOGITS
    pull
    1.01
     pull
    0.93
     aggro
    0.92
    Pull
    0.87
     pulling
    0.77
     Pull
    0.76
     pulls
    0.75
     pulled
    0.73
     weeds
    0.73
     out
    0.70
    Activations Density 0.012%

    No Known Activations