© 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. 7-RES-JB
    11. 14538
    Prev
    Next
    INDEX
    Explanations

    instances where someone does a good job or a fantastic job

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive evaluations of performance or tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tang
    -0.78
    fty
    -0.66
    isks
    -0.65
    ities
    -0.64
    ater
    -0.64
     Phi
    -0.64
    anamo
    -0.63
     fears
    -0.63
    NetMessage
    -0.62
    anga
    -0.60
    POSITIVE LOGITS
     handling
    0.85
     portraying
    0.83
     job
    0.83
     arrang
    0.82
     ethic
    0.81
     balancing
    0.78
     mitigating
    0.77
     illustrating
    0.77
     impression
    0.75
     optimizing
    0.75
    Activations Density 0.047%

    No Known Activations