© 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. 9-RES-JB
    11. 23104
    Prev
    Next
    INDEX
    Explanations

    reasons or explanations for actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "because" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ishable
    -0.73
    lock
    -0.72
    mint
    -0.69
    joined
    -0.68
    ymph
    -0.65
    ipel
    -0.64
    wn
    -0.62
    miss
    -0.61
    emi
    -0.60
    itud
    -0.60
    POSITIVE LOGITS
     they
    1.11
     THEY
    0.93
     he
    0.89
     nobody
    0.86
     she
    0.83
     there
    0.81
     hey
    0.80
     otherwise
    0.80
     it
    0.80
     of
    0.79
    Activations Density 0.088%

    No Known Activations