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

    Neuronpedia

    APIAssistant AxisNEWCircuit TracerNEWSteerSAE EvalsExports 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. 3-RES-JB
    11. 6443
    Prev
    Next
    INDEX
    Explanations

    phrases describing negative impact or harm

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing negative impacts or harmful effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.70
    ilk
    -0.69
    rows
    -0.68
    eely
    -0.67
    endment
    -0.67
    iatrics
    -0.67
    chan
    -0.65
    quart
    -0.65
    ploma
    -0.64
    guyen
    -0.63
    POSITIVE LOGITS
     undermin
    1.00
     havoc
    0.92
     sidel
    0.79
     liqu
    0.77
    ly
    0.77
     damaging
    0.76
     shocks
    0.76
     adolesc
    0.74
     libel
    0.74
     damage
    0.74
    Activations Density 0.025%

    No Known Activations