© 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. 2-RES-JB
    11. 4265
    Prev
    Next
    INDEX
    Explanations

    words related to catastrophic or disastrous events or consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to catastrophic events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.80
    elf
    -0.78
    bors
    -0.78
    ymph
    -0.77
    ago
    -0.77
    quart
    -0.76
    ulton
    -0.76
    guyen
    -0.76
    cled
    -0.75
    cling
    -0.72
    POSITIVE LOGITS
    itous
    1.04
     catastrophic
    0.90
     consequences
    0.89
     havoc
    0.86
    ity
    0.82
     catastrophe
    0.81
     impacts
    0.80
     catast
    0.80
     disasters
    0.79
    ities
    0.78
    Activations Density 0.011%

    No Known Activations