© 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. 9-RES-JB
    11. 17143
    Prev
    Next
    INDEX
    Explanations

    exclamatory phrases, particularly those with strong emotional intensity

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory phrases and expressions of strong emotion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conduc
    -0.77
     glim
    -0.73
    undai
    -0.72
     surpr
    -0.69
     restraints
    -0.67
     moss
    -0.67
    vati
    -0.67
     plur
    -0.66
     tyr
    -0.65
     necessities
    -0.65
    POSITIVE LOGITS
    @#&
    1.54
    #$
    1.31
    @#
    1.17
    ?!
    1.14
    important
    1.08
    ãĢį
    0.91
     Euph
    0.85
     Somebody
    0.84
     Brands
    0.80
    =-
    0.80
    Activations Density 0.071%

    No Known Activations