© 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. 6-RES-JB
    11. 7276
    Prev
    Next
    INDEX
    Explanations

    phrases related to being absorbed or caught up in various situations or experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to feelings of being lost or caught up in situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ially
    -0.71
    ALLY
    -0.70
    assadors
    -0.66
     actresses
    -0.64
    provided
    -0.63
     avail
    -0.63
     sparing
    -0.62
    FOX
    -0.62
    available
    -0.62
     shown
    -0.62
    POSITIVE LOGITS
     limbo
    0.96
     Wonderland
    0.80
     knots
    0.77
     obscurity
    0.73
     Clouds
    0.73
     Madness
    0.72
    escap
    0.71
     contemplation
    0.71
    fty
    0.71
     sands
    0.69
    Activations Density 0.178%

    No Known Activations