© 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. 10-RES-JB
    11. 6374
    Prev
    Next
    INDEX
    Explanations

    phrases related to setting up or establishing something for future success

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to laying foundations or groundwork

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.80
    quickShipAvailable
    -0.80
    taboola
    -0.77
     Cosponsors
    -0.74
    interstitial
    -0.68
    ILY
    -0.66
     Courier
    -0.65
    flation
    -0.64
     CLSID
    -0.63
    ruciating
    -0.63
    POSITIVE LOGITS
     groundwork
    1.75
     foundations
    1.40
     foundation
    1.23
     seeds
    0.93
     cornerstone
    0.91
     asphalt
    0.87
     bare
    0.82
     laure
    0.81
     roots
    0.79
     ground
    0.79
    Activations Density 0.085%

    No Known Activations