© 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. 9-RES-JB
    11. 19621
    Prev
    Next
    INDEX
    Explanations

    numbers and measurements in parts per million

    oai_token-act-pair · gpt-3.5-turbo

    statistical measurements and comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -1.00
    ĪĴ
    -0.79
    rir
    -0.69
    isodes
    -0.67
    ovie
    -0.67
     reun
    -0.63
    illance
    -0.62
     unfold
    -0.62
     Cosponsors
    -0.61
     identity
    -0.59
    POSITIVE LOGITS
     averages
    1.28
    Maximum
    1.21
    minimum
    1.13
    maximum
    1.11
    Minimum
    1.09
     thresholds
    1.08
     estimate
    1.08
     ranges
    1.08
     achievable
    1.07
     estimates
    1.07
    Activations Density 0.855%

    No Known Activations