© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    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. 1887
    Prev
    Next
    INDEX
    Explanations

    the word "ultimate"

    oai_token-act-pair · gpt-3.5-turbo

    the word "ultimate" along with its context of defining goals or aspirations

    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
    Å¡
    -0.65
    Alert
    -0.65
    lish
    -0.64
    CAP
    -0.64
     Brook
    -0.62
     Mare
    -0.61
    aqu
    -0.61
    hold
    -0.61
    note
    -0.60
    listed
    -0.60
    POSITIVE LOGITS
     ultimate
    3.51
    ultimate
    2.00
    Ultimate
    1.90
     Ultimate
    1.75
     ult
    1.42
     eventual
    1.26
     greatest
    1.25
     absolute
    1.23
     fullest
    1.22
     definitive
    1.20
    Activations Density 0.019%

    No Known Activations