© 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. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE Local
    9. 6-RES_SCL-AJT
    11. 35653
    Prev
    Next
    INDEX
    Explanations

    comparisons and descriptions of technical specifications or intricacies related to various subjects

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.37
    2.9%
    640
    +0.22
    1.7%
    160
    +0.09
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    640
    +0.37
    0.37
    64
    +0.22
    -0.16
    442
    +0.09
    0.17
    Negative Logits
     dra
    -0.49
     que
    -0.47
     swe
    -0.46
     frontline
    -0.43
     axe
    -0.42
     greeting
    -0.42
     unidentified
    -0.42
     eligible
    -0.42
     unre
    -0.42
     encomp
    -0.42
    POSITIVE LOGITS
    Advertisement
    1.01
    Newsletter
    0.83
    Regardless
    0.83
    Besides
    0.83
    Another
    0.82
    Unfortunately
    0.82
    Since
    0.81
    Because
    0.81
    Similarly
    0.81
    While
    0.80
    Activations Density 9.647%

    No Known Activations