© 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. 10-RES-JB
    11. 749
    Prev
    Next
    INDEX
    Explanations

    phrases indicating a revealing or highlighting of important information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reveal or emphasize underlying issues or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Appears
    -0.68
     confir
    -0.66
    soever
    -0.65
    iphate
    -0.64
    kas
    -0.62
    unte
    -0.61
    KO
    -0.59
     Provided
    -0.59
     consisting
    -0.59
     consisted
    -0.59
    POSITIVE LOGITS
     how
    1.16
     why
    1.11
    why
    1.10
     themes
    1.06
     misconceptions
    1.00
     aspects
    0.99
     facets
    0.97
     misunderstand
    0.95
     what
    0.95
     longstanding
    0.94
    Activations Density 0.307%

    No Known Activations