© 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. 2-RES-JB
    11. 14845
    Prev
    Next
    INDEX
    Explanations

    phrases related to negative consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    specific phrases related to negative or undesirable conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.83
     Dickinson
    -0.82
     Arabian
    -0.64
     Norris
    -0.62
     Richards
    -0.62
     AVG
    -0.61
     Rica
    -0.60
     susp
    -0.60
     EntityItem
    -0.59
    HCR
    -0.58
    POSITIVE LOGITS
    based
    1.17
    sized
    1.13
    level
    1.02
    themed
    0.99
    shaped
    0.96
    related
    0.95
    style
    0.95
    division
    0.91
    eyed
    0.91
    specific
    0.90
    Activations Density 0.476%

    No Known Activations