© 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. 4-RES-JB
    11. 16844
    Prev
    Next
    INDEX
    Explanations

    the word "essential" and related contexts where something is crucial or necessary

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "essential" and its variations

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

    No Comments

    Negative Logits
    Roy
    -0.77
    OUT
    -0.70
    kers
    -0.69
    adra
    -0.67
    hare
    -0.66
    creen
    -0.66
     Stall
    -0.66
    kered
    -0.64
    outed
    -0.64
    VERTIS
    -0.64
    POSITIVE LOGITS
     ingredient
    0.93
     essential
    0.93
    essential
    0.90
     components
    0.88
     ingred
    0.88
     essentials
    0.78
     elements
    0.77
     oils
    0.77
     ingredients
    0.76
     necessities
    0.76
    Activations Density 0.016%

    No Known Activations