© 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 EvalsExportsinterp-engineNEWAPI 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. 7-RES-JB
    11. 14546
    Prev
    Next
    INDEX
    Explanations

    phrases related to conditions or rules that lead to specific outcomes

    oai_token-act-pair · gpt-3.5-turbo

    connections between conditions and their outcomes in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.84
    çīĪ
    -0.78
    ãĥ³ãĤ¸
    -0.62
    GREEN
    -0.61
    ãĤ´ãĥ³
    -0.61
    senal
    -0.59
     Moroc
    -0.57
    Els
    -0.56
    ãĥī
    -0.55
    renheit
    -0.55
    POSITIVE LOGITS
     sufficiently
    0.72
     <=
    0.67
     slightest
    0.66
     fails
    0.64
    essor
    0.64
     ==
    0.62
    pires
    0.62
     >=
    0.62
     &&
    0.61
     somebody
    0.59
    Activations Density 0.787%

    No Known Activations