© 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. 4-RES-JB
    11. 9328
    Prev
    Next
    INDEX
    Explanations

    phrases related to being fed up or dissatisfaction

    oai_token-act-pair · gpt-3.5-turbo

    the word "fed" in various contexts

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

    No Comments

    Negative Logits
    istically
    -0.71
    isms
    -0.65
     Ashes
    -0.63
     Universities
    -0.60
     MLG
    -0.59
     Templar
    -0.58
     Petroleum
    -0.57
     CLS
    -0.57
    ayson
    -0.56
    Serial
    -0.56
    POSITIVE LOGITS
    oras
    1.28
    ora
    1.13
    fed
    0.93
    rir
    0.89
    Fed
    0.89
     fed
    0.87
    Īè
    0.86
    ression
    0.85
    ¡
    0.84
    dit
    0.84
    Activations Density 0.009%

    No Known Activations