© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    APIAssistant AxisNEWCircuit TracerNEWSteerSAE EvalsExports 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. 7960
    Prev
    Next
    INDEX
    Explanations

    the word "much" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "much" to emphasize a lack of abundance or significance

    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
    yne
    -0.74
    ©¶æ
    -0.71
    idon
    -0.69
    ĪĴ
    -0.69
    YN
    -0.68
    izoph
    -0.67
    otom
    -0.67
    eton
    -0.67
    sylv
    -0.66
    edience
    -0.62
    POSITIVE LOGITS
     anymore
    1.23
     else
    1.04
     consolation
    0.84
     whatsoever
    0.82
     bothered
    0.79
     nor
    0.78
     unless
    0.77
     except
    0.76
     besides
    0.76
     anyway
    0.73
    Activations Density 0.054%

    No Known Activations