Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    APICircuit TracerNEWSteerSAE EvalsBlog/PodcastSlackPrivacy & TermsContact
    © Neuronpedia 2025
    Privacy & TermsBlog/PodcastGitHubSlackTwitterContact
    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13049
    Prev
    Next
    INDEX
    Explanations

    phrases related to hard work or effort

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "grind" or hard work

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idas
    -0.70
    uana
    -0.70
    tymology
    -0.69
    amera
    -0.68
    ortium
    -0.65
    erva
    -0.63
    abet
    -0.63
     Loft
    -0.62
    vironment
    -0.59
    CEPT
    -0.58
    POSITIVE LOGITS
     grind
    1.02
    ingly
    0.93
    stone
    0.92
     Grind
    0.85
    aign
    0.84
    tro
    0.82
     grinding
    0.81
    downs
    0.78
    rice
    0.77
    sheet
    0.76
    Activations Density 0.024%

    No Known Activations