© 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. 2-RES-JB
    11. 7127
    Prev
    Next
    INDEX
    Explanations

    terms related to the act of consuming or the act of being eaten/consumed

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "consume" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exoner
    -0.68
     Wells
    -0.60
     Dalai
    -0.60
    sighted
    -0.60
     promoter
    -0.59
     Benson
    -0.59
     Dee
    -0.59
    organ
    -0.59
     whistleblower
    -0.58
     Rhodes
    -0.58
    POSITIVE LOGITS
    itures
    1.16
    iture
    1.05
    edIn
    0.87
    umes
    0.86
    iencies
    0.85
    ibles
    0.85
    ivities
    0.84
    iences
    0.84
     litres
    0.81
     consumed
    0.81
    Activations Density 0.009%

    No Known Activations