© 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 EvalsExportsinterp-engineNEWAPI 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. 11-RES-JB
    11. 5658
    Prev
    Next
    INDEX
    Explanations

    phrases related to environmental impact and consequences

    oai_token-act-pair · gpt-3.5-turbo

    relationships between environmental factors and health issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wem
    -0.72
    eteen
    -0.68
     Vance
    -0.64
     nods
    -0.63
    poke
    -0.62
     Welcome
    -0.61
     Elias
    -0.61
     Merlin
    -0.60
     Nope
    -0.60
    xxxxxxxx
    -0.60
    POSITIVE LOGITS
     adversely
    1.39
     negatively
    1.29
     consequ
    1.23
     detrimental
    1.22
     exacerbate
    1.21
     detriment
    1.19
     worsen
    1.16
     impair
    1.15
     resultant
    1.15
     consequently
    1.14
    Activations Density 0.646%

    No Known Activations