© 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. 3-RES-JB
    11. 21282
    Prev
    Next
    INDEX
    Explanations

    words related to physical debris or destruction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to debris and destruction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vern
    -0.71
    nder
    -0.68
    zee
    -0.68
     Pis
    -0.67
    orld
    -0.66
    Revolution
    -0.64
    bred
    -0.64
    conn
    -0.64
    Adapt
    -0.63
    ebus
    -0.63
    POSITIVE LOGITS
     debris
    1.22
    shed
    0.93
     fragments
    0.88
     particles
    0.86
     wreckage
    0.83
     piles
    0.82
     dumps
    0.81
     remnants
    0.80
    asma
    0.75
    works
    0.75
    Activations Density 0.007%

    No Known Activations