© 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. 18044
    Prev
    Next
    INDEX
    Explanations

    instances of the word "recognize."

    oai_token-act-pair · gpt-3.5-turbo

    the word "recognize" and its variations 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
    isher
    -0.69
    stead
    -0.68
    ixt
    -0.67
    etry
    -0.66
    hire
    -0.64
    ffield
    -0.64
    quer
    -0.62
    isoft
    -0.62
    econom
    -0.60
    quin
    -0.59
    POSITIVE LOGITS
    ibly
    0.99
    ledged
    0.93
    recogn
    0.90
    ibility
    0.86
     recognizing
    0.86
     recognize
    0.85
    ably
    0.84
    enance
    0.79
    rities
    0.77
     recognise
    0.76
    Activations Density 0.021%

    No Known Activations