© 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. 8-RES-JB
    11. 11915
    Prev
    Next
    INDEX
    Explanations

    the phrase "any and all"

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing inclusivity and the concept of "each and every" in relation to people or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢
    -0.70
     caucuses
    -0.59
    AMI
    -0.55
     Reps
    -0.55
     revolutions
    -0.54
     registration
    -0.54
    ADVERTISEMENT
    -0.54
     MRI
    -0.54
     Tec
    -0.53
    NSA
    -0.53
    POSITIVE LOGITS
    ndra
    0.78
    everything
    0.77
    every
    0.75
    ality
    0.74
    allery
    0.73
    any
    0.72
    rogen
    0.71
    ©¶æ
    0.71
    selage
    0.71
    then
    0.69
    Activations Density 0.070%

    No Known Activations