© 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. 1-RES-JB
    11. 22211
    Prev
    Next
    INDEX
    Explanations

    adjectives that describe the steepness of a situation or physical attribute

    oai_token-act-pair · gpt-3.5-turbo

    the concept of steepness or difficulty in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aurus
    -0.78
    avez
    -0.67
    UU
    -0.65
    imester
    -0.64
    phis
    -0.64
     SPORTS
    -0.63
     Veter
    -0.62
     Mankind
    -0.61
    SUP
    -0.61
    nsic
    -0.60
    POSITIVE LOGITS
     steep
    1.19
     slope
    0.94
     slopes
    0.94
    edIn
    0.89
     gradient
    0.87
    ened
    0.84
    eeper
    0.82
     lapt
    0.81
     ascent
    0.80
     climbs
    0.79
    Activations Density 0.006%

    No Known Activations