© 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. 7-RES-JB
    11. 3195
    Prev
    Next
    INDEX
    Explanations

    the word "very" with various strengths of activation

    oai_token-act-pair · gpt-3.5-turbo

    the word "very" and its frequent usage in various contexts

    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
    olor
    -0.77
    osal
    -0.75
    ensis
    -0.71
    igi
    -0.68
    adelphia
    -0.66
    onent
    -0.66
    iture
    -0.65
    ando
    -0.65
    onis
    -0.65
    zyk
    -0.63
    POSITIVE LOGITS
     seldom
    0.82
     similar
    0.81
     different
    0.81
     rarely
    0.81
     low
    0.79
     readable
    0.78
     rare
    0.78
     handy
    0.78
     informative
    0.77
     unlikely
    0.76
    Activations Density 0.068%

    No Known Activations