© 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. 0-RES-JB
    11. 10219
    Prev
    Next
    INDEX
    Explanations

    mentions of plans or strategies related to resource allocation or distribution, particularly focusing on rationing and shortages

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rationing and shortages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    athan
    -0.71
    jc
    -0.69
     Heard
    -0.68
     WordPress
    -0.67
    nan
    -0.66
     Django
    -0.66
     Wel
    -0.65
     Roc
    -0.62
    zona
    -0.62
     Delaware
    -0.61
    POSITIVE LOGITS
     ration
    3.97
     shortages
    1.47
     stockp
    1.20
     allot
    1.09
     conserve
    0.94
     econom
    0.93
    Bott
    0.89
     reserv
    0.84
     evac
    0.84
     amput
    0.80
    Activations Density 0.016%

    No Known Activations