© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    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. 7-RES-JB
    11. 17289
    Prev
    Next
    INDEX
    Explanations

    phrases related to negative consequences or repercussions

    oai_token-act-pair · gpt-3.5-turbo

    significant outcomes or consequences in narratives

    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
    tein
    -0.69
     guiActiveUnfocused
    -0.64
     whilst
    -0.62
    ?".
    -0.61
    ((
    -0.59
     tv
    -0.58
     etc
    -0.57
     thru
    -0.57
     âī¥
    -0.56
     ItemLevel
    -0.56
    POSITIVE LOGITS
    GROUP
    0.66
    romeda
    0.64
    emis
    0.63
    WIN
    0.63
     Debor
    0.63
    prises
    0.61
    ymm
    0.61
    profile
    0.60
     Arpaio
    0.60
     unden
    0.59
    Activations Density 1.118%

    No Known Activations