© 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. 9-RES-JB
    11. 24027
    Prev
    Next
    INDEX
    Explanations

    instances of actions or events being attempted but ultimately failing

    oai_token-act-pair · gpt-3.5-turbo

    events involving changes or failures in plans or actions

    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
    eva
    -0.71
    TPPStreamerBot
    -0.65
    regate
    -0.61
    escent
    -0.60
    inals
    -0.59
     ILCS
    -0.58
    onna
    -0.57
    esting
    -0.55
    hat
    -0.55
    angelo
    -0.55
    POSITIVE LOGITS
     nonetheless
    0.99
     unsuccessful
    0.83
     overr
    0.78
     owing
    0.78
     relent
    0.78
     postp
    0.74
     abruptly
    0.73
     nevertheless
    0.72
     afterwards
    0.72
     due
    0.71
    Activations Density 0.647%

    No Known Activations