© 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. 2-RES-JB
    11. 21356
    Prev
    Next
    INDEX
    Explanations

    references to different types of water sources and precipitation patterns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to water sources and their management

    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
    nam
    -0.94
    nel
    -0.79
    oser
    -0.79
    Sax
    -0.79
    otine
    -0.76
     Kinnikuman
    -0.75
    kus
    -0.75
    hood
    -0.75
    iasis
    -0.75
    osit
    -0.73
    POSITIVE LOGITS
     groundwater
    1.14
     runoff
    0.84
     conservation
    0.82
     inund
    0.80
     contamin
    0.80
     contamination
    0.79
     moisture
    0.77
     contaminants
    0.76
     aqu
    0.75
     basin
    0.75
    Activations Density 0.010%

    No Known Activations