© 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. 12-RES-JB
    11. 3164
    Prev
    Next
    INDEX
    Explanations

    references to computer programming concepts related to system maintenance and low-level operations, such as provisioning servers, memory allocation, debugging, and device interfacing

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    technical terms and operations related to software development and programming concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jamin
    -0.81
    ividual
    -0.76
    ACTED
    -0.71
    ª
    -0.69
    accessible
    -0.68
    minecraft
    -0.68
    rolet
    -0.67
    é¾įåĸļ士
    -0.67
    ometown
    -0.66
    birth
    -0.66
    POSITIVE LOGITS
     algorithm
    1.18
     algorithms
    1.18
     routines
    1.15
     logic
    1.10
     mechanism
    1.04
     semantics
    1.00
     workflow
    1.00
     scheme
    0.98
     schemes
    0.97
     optimizations
    0.97
    Activations Density 0.220%

    No Known Activations