© 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. 9-RES-JB
    11. 17149
    Prev
    Next
    INDEX
    Explanations

    instructions or steps related to a specific process

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to processes and materials in a practical context

    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
     Samar
    -0.76
    Twenty
    -0.74
    Ops
    -0.71
    åŃ
    -0.69
    sych
    -0.69
    cknowled
    -0.69
    Seven
    -0.68
     Esther
    -0.66
    Song
    -0.66
    Pand
    -0.66
    POSITIVE LOGITS
     moisture
    1.43
     pores
    1.26
     fibers
    1.18
     contaminants
    1.15
     stains
    1.15
     uneven
    1.13
     seams
    1.12
     thicker
    1.12
     coating
    1.10
     brittle
    1.09
    Activations Density 0.471%

    No Known Activations