© 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 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. 1-RES-JB
    11. 21836
    Prev
    Next
    INDEX
    Explanations

    the word "fine" used positively in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the term "fine" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kut
    -0.83
    xy
    -0.76
    location
    -0.70
    VR
    -0.70
    NetMessage
    -0.69
     thwarted
    -0.67
    pg
    -0.66
    rophe
    -0.66
    rus
    -0.66
    sworth
    -0.66
    POSITIVE LOGITS
     fine
    1.43
    fine
    1.18
    Fine
    1.02
     tuning
    0.99
     Fine
    0.93
     Gael
    0.84
     fines
    0.83
     tuned
    0.80
     propri
    0.75
     cryst
    0.70
    Activations Density 0.008%

    No Known Activations