© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it
    Neuronpedia
    Jacobian LensNEW
    Natural Language
    Autoencoders
    MAY 26    Assistant AxisJAN 26Circuit TracerAPR 26SteerSAE EvalsExportsinterp-engineNEW 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. 8-RES-JB
    11. 14315
    Prev
    Next
    INDEX
    Explanations

    phrases related to negative consequences or risks, particularly involving physical harm or legal issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causes and effects relating to health and safety risks

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     nods
    -0.66
    poke
    -0.63
    itely
    -0.63
    obbies
    -0.63
    iple
    -0.62
    reetings
    -0.61
     joking
    -0.60
    Python
    -0.60
    qua
    -0.59
     Creed
    -0.58
    POSITIVE LOGITS
     havoc
    1.30
     exacerb
    1.22
     destabil
    1.18
     exacerbate
    1.13
     worsening
    1.11
     crippling
    1.10
     worsened
    1.09
     adversely
    1.09
     worsen
    1.08
     jeopard
    1.08
    Activations Density 1.370%

    No Known Activations