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

    Neuronpedia

    Jacobian LensNEW
    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. 9-RES-JB
    11. 14768
    Prev
    Next
    INDEX
    Explanations

    phrases related to photography and food preparation

    oai_token-act-pair · gpt-3.5-turbo

    references to food-related processes and health risks associated with its preparation

    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
    ĸļ
    -0.89
    ©¶æ
    -0.74
    ccording
    -0.73
    oday
    -0.73
     Parables
    -0.71
    querque
    -0.70
    edom
    -0.69
     eleph
    -0.67
    foundland
    -0.66
    £ı
    -0.66
    POSITIVE LOGITS
     cy
    0.58
    .'"
    0.55
    '."
    0.54
    ~
    0.53
    âĶĢâĶĢâĶĢâĶĢ
    0.52
     streaks
    0.51
    ...
    0.51
    Spell
    0.51
    ?'"
    0.50
     *
    0.50
    Activations Density 0.137%

    No Known Activations