© 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. 16629
    Prev
    Next
    INDEX
    Explanations

    terms related to significance or importance

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate significance or prominence

    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
    è£ħ
    -0.76
     pione
    -0.66
    anski
    -0.66
    aina
    -0.66
    Lyn
    -0.64
     Han
    -0.63
    Þ
    -0.62
    ANS
    -0.61
    sten
    -0.61
    mun
    -0.60
    POSITIVE LOGITS
     imaginable
    1.02
     Occupations
    0.75
     EVER
    0.74
    hest
    0.74
     manifestation
    0.69
     culprit
    0.68
     predictor
    0.67
    iary
    0.67
     agric
    0.67
     conceivable
    0.67
    Activations Density 0.123%

    No Known Activations