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

    Neuronpedia

    APISteerSAE EvalsBlog/PodcastNEWSlackPrivacy & 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. 12480
    Prev
    Next
    INDEX
    Explanations

    code snippets with logical conditions

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" used in various contexts

    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
    meet
    -0.73
    Gaza
    -0.72
    actionDate
    -0.69
    --------------------------------------------------------
    -0.66
    fleet
    -0.63
    ONSORED
    -0.62
    OTA
    -0.61
    lift
    -0.60
    graduate
    -0.59
    çīĪ
    -0.59
    POSITIVE LOGITS
     therefore
    1.31
     thus
    1.22
     consequently
    1.19
     hence
    1.19
     then
    1.10
     THEN
    1.09
     thereby
    0.97
     furthermore
    0.95
     secondly
    0.93
    rogens
    0.90
    Activations Density 0.548%

    No Known Activations