© 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. 6-RES-JB
    11. 9966
    Prev
    Next
    INDEX
    Explanations

    keywords related to being impacted or influenced by various events or circumstances

    oai_token-act-pair · gpt-3.5-turbo

    the term "affected" in relation to various contexts or sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OVA
    -0.78
    çĦ
    -0.74
    WithNo
    -0.72
    YC
    -0.71
    cia
    -0.68
    otten
    -0.68
    outed
    -0.67
    outh
    -0.67
    ope
    -0.66
    ATT
    -0.65
    POSITIVE LOGITS
     affected
    1.00
     adversely
    0.99
     effected
    0.92
     impacted
    0.87
     havoc
    0.81
     impacts
    0.73
     negatively
    0.72
     advis
    0.71
     unaffected
    0.71
     acutely
    0.70
    Activations Density 0.022%

    No Known Activations