© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI 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. 8-RES-JB
    11. 23925
    Prev
    Next
    INDEX
    Explanations

    specific entities or groups that are recipients of or involved in various actions or communications

    oai_token-act-pair · gpt-3.5-turbo

    references to various entities and stakeholders involved in communication or transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.69
    %%%%
    -0.68
    lander
    -0.65
    wed
    -0.65
    wrapper
    -0.63
     manoeuv
    -0.62
     footsteps
    -0.62
    alam
    -0.60
    ivalry
    -0.59
    phas
    -0.59
    POSITIVE LOGITS
     via
    0.98
     coffers
    0.93
     ASAP
    0.72
    rolet
    0.71
    iann
    0.70
     needy
    0.69
     tune
    0.68
     detriment
    0.67
     recipients
    0.67
    umers
    0.65
    Activations Density 0.605%

    No Known Activations