© 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. 1937
    Prev
    Next
    INDEX
    Explanations

    phrases emphasizing high intensity or extreme qualities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "incredibly" and assess the strength of feelings or emphatic expressions

    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
    icip
    -0.76
    icipated
    -0.73
    edom
    -0.69
    igate
    -0.68
    Runner
    -0.67
    ribution
    -0.67
    sburgh
    -0.67
     Continued
    -0.66
     Delivery
    -0.63
    masters
    -0.61
    POSITIVE LOGITS
     inefficient
    0.75
     uncomfortable
    0.73
     emot
    0.73
     awkward
    0.73
     expensive
    0.72
    STEM
    0.71
     readable
    0.70
     fascinating
    0.70
    @#&
    0.69
    binary
    0.68
    Activations Density 0.020%

    No Known Activations